https://github.com/shaohua0116/ICLR2019-OpenReviewData
Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
https://github.com/shaohua0116/ICLR2019-OpenReviewData
crawler crawling-python openreview tutorial
Last synced: 11 months ago
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Script that crawls meta data from ICLR OpenReview webpage. Tutorials on installing and using Selenium and ChromeDriver on Ubuntu.
- Host: GitHub
- URL: https://github.com/shaohua0116/ICLR2019-OpenReviewData
- Owner: shaohua0116
- License: mit
- Created: 2018-11-06T11:44:59.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2019-12-05T19:33:11.000Z (over 6 years ago)
- Last Synced: 2024-11-27T02:35:20.964Z (over 1 year ago)
- Topics: crawler, crawling-python, openreview, tutorial
- Language: Jupyter Notebook
- Homepage:
- Size: 54.4 MB
- Stars: 387
- Watchers: 9
- Forks: 32
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Crawl and Visualize ICLR 2019 OpenReview Data
## Descriptions
This Jupyter Notebook contains the data and visualizations that are crawled ICLR 2019 OpenReview webpages. All the crawled data (sorted by the average ratings) can be found [here](#Data). The accepted papers have an average rating of 6.611 and 4.716 for rejected papers. The distributions are plotted as follows.
## Prerequisites
- Python3.5
- [selenium](https://selenium-python.readthedocs.io/)
- [pyvirtualdisplay](https://pypi.org/project/PyVirtualDisplay/) (run on a headless device)
- [wordcloud](https://pypi.org/project/wordcloud/)
- [imageio](https://imageio.github.io/)
## Visualizations
The word clouds formed by keywords of submissions show the hot topics including **reinforcement learning**, **generative adversarial networks**, **generative models**, **imitation learning**, **representation learning**, etc.
This figure is plotted with python [word cloud generator](https://github.com/amueller/word_cloud)
```python
from wordcloud import WordCloud
wordcloud = WordCloud(max_font_size=64, max_words=160,
width=1280, height=640,
background_color="black").generate(' '.join(keywords))
plt.figure(figsize=(16, 8))
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
```
The distributions of reviewer ratings center around 5 to 6 (mean: 5.15).
You can compute how many papers are beaten by yours with
```python
def PR(rating_mean, your_rating):
pr = np.sum(your_rating >= np.array(rating_mean))/len(rating_mean)*100
return pr
my_rating = (5+6+7)/3 # your average rating here
print('Your papar beats {:.2f}% of submission '
'(well, jsut based on the ratings...)'.format(PR(rating_mean, my_rating)))
# ICLR 2017: accept rate 39.1% (198/507) (15 orals and 183 posters)
# ICLR 2018: accept rate 32% (314/981) (23 orals and 291 posters)
# ICLR 2018: accept rate ?% (?/1580)
```
The top 50 common keywords and their frequency.
The average reviewer ratings and the frequency of keywords indicate that to maximize your chance to get higher ratings would be using the keywords such as **theory**, **robustness**, or **graph neural network**.
## How it works
See [How to install Selenium and ChromeDriver on Ubuntu](#Install).
To crawl data from dynamic websites such as OpenReview, a headless web simulator is created by
```
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
executable_path = '/Users/waltersun/Desktop/chromedriver' # path to your executable browser
options = Options()
options.add_argument("--headless")
browser = webdriver.Chrome(options=options, executable_path=executable_path)
```
Then, we can get the content of a webpage
```
browser.get(url)
```
To know what content we can crawl, we will need to inspect the webpage layout.
I chose to get the content by
```
key = browser.find_elements_by_class_name("note_content_field")
value = browser.find_elements_by_class_name("note_content_value")
```
The data includes the abstract, keywords, TL; DR, comments.
## Installing Selenium and ChromeDriver on Ubuntu
The following content is hugely borrowed from a nice [post](https://christopher.su/2015/selenium-chromedriver-ubuntu/) written by Christopher Su.
- Install Google Chrome for Debian/Ubuntu
```
sudo apt-get install libxss1 libappindicator1 libindicator7
wget https://dl.google.com/linux/direct/google-chrome-stable_current_amd64.deb
sudo dpkg -i google-chrome*.deb
sudo apt-get install -f
```
- Install `xvfb` to run Chrome on a headless device
```
sudo apt-get install xvfb
```
- Install ChromeDriver for 64-bit Linux
```
sudo apt-get install unzip # If you don't have unzip package
wget -N http://chromedriver.storage.googleapis.com/2.26/chromedriver_linux64.zip
unzip chromedriver_linux64.zip
chmod +x chromedriver
sudo mv -f chromedriver /usr/local/share/chromedriver
sudo ln -s /usr/local/share/chromedriver /usr/local/bin/chromedriver
sudo ln -s /usr/local/share/chromedriver /usr/bin/chromedriver
```
If your system is 32-bit, please find the ChromeDriver releases [here](http://chromedriver.storage.googleapis.com/) and modify the above download command.
- Install Python dependencies (Selenium and pyvirtualdisplay)
```
pip install pyvirtualdisplay selenium
```
- Test your setup in Python
```python
from pyvirtualdisplay import Display
from selenium import webdriver
display = Display(visible=0, size=(1024, 1024))
display.start()
browser = webdriver.Chrome()
browser.get('http://shaohua0116.github.io/')
print(browser.title)
print(browser.find_element_by_class_name('bio').text)
```
## All ICLR 2019 OpenReview data
Collected at 2019-12-05 11:31:13.692315
Number of submissions: 1579 (withdrawn submissions: 0)
| Rank | Average Rating | Title | Ratings | Variance | Decision |
| --- | --- | --- | --- | --- | --- |
| 1 | 8.67 | [Generating High Fidelity Images With Subscale Pixel Networks And Multidimensional Upscaling](https://openreview.net/forum?id=HylzTiC5Km) | 7, 10, 9 | 1.25 | Accept (Oral) |
| 2 | 8.67 | [Alista: Analytic Weights Are As Good As Learned Weights In Lista](https://openreview.net/forum?id=B1lnzn0ctQ) | 10, 7, 9 | 1.25 | Accept (Poster) |
| 3 | 8.33 | [Benchmarking Neural Network Robustness To Common Corruptions And Perturbations](https://openreview.net/forum?id=HJz6tiCqYm) | 7, 9, 9 | 0.94 | Accept (Poster) |
| 4 | 8.33 | [On Random Deep Weight-tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, And Implications To Training](https://openreview.net/forum?id=HJx54i05tX) | 9, 8, 8 | 0.47 | Accept (Oral) |
| 5 | 8.00 | [Posterior Attention Models For Sequence To Sequence Learning](https://openreview.net/forum?id=BkltNhC9FX) | 8, 9, 7 | 0.82 | Accept (Poster) |
| 6 | 8.00 | [Pay Less Attention With Lightweight And Dynamic Convolutions](https://openreview.net/forum?id=SkVhlh09tX) | 8, 8, 8 | 0.00 | Accept (Oral) |
| 7 | 8.00 | [Slimmable Neural Networks](https://openreview.net/forum?id=H1gMCsAqY7) | 8, 9, 7 | 0.82 | Accept (Poster) |
| 8 | 8.00 | [A Unified Theory Of Early Visual Representations From Retina To Cortex Through Anatomically Constrained Deep Cnns](https://openreview.net/forum?id=S1xq3oR5tQ) | 8, 8, 8 | 0.00 | Accept (Oral) |
| 9 | 8.00 | [Ordered Neurons: Integrating Tree Structures Into Recurrent Neural Networks](https://openreview.net/forum?id=B1l6qiR5F7) | 9, 7, 8 | 0.82 | Accept (Oral) |
| 10 | 8.00 | [Temporal Difference Variational Auto-encoder](https://openreview.net/forum?id=S1x4ghC9tQ) | 8, 9, 7 | 0.82 | Accept (Oral) |
| 11 | 8.00 | [Enabling Factorized Piano Music Modeling And Generation With The Maestro Dataset](https://openreview.net/forum?id=r1lYRjC9F7) | 8, 8, 8 | 0.00 | Accept (Oral) |
| 12 | 8.00 | [Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse Rl, And Gans By Constraining Information Flow](https://openreview.net/forum?id=HyxPx3R9tm) | 6, 10, 8 | 1.63 | Accept (Poster) |
| 13 | 8.00 | [Near-optimal Representation Learning For Hierarchical Reinforcement Learning](https://openreview.net/forum?id=H1emus0qF7) | 8, 9, 7 | 0.82 | Accept (Poster) |
| 14 | 8.00 | [Ba-net: Dense Bundle Adjustment Networks](https://openreview.net/forum?id=B1gabhRcYX) | 9, 7, 8 | 0.82 | Accept (Oral) |
| 15 | 8.00 | [Understanding And Improving Interpolation In Autoencoders Via An Adversarial Regularizer](https://openreview.net/forum?id=S1fQSiCcYm) | 7, 8, 9 | 0.82 | Accept (Poster) |
| 16 | 8.00 | [Snip: Single-shot Network Pruning Based On Connection Sensitivity](https://openreview.net/forum?id=B1VZqjAcYX) | 8, 7, 9 | 0.82 | Accept (Poster) |
| 17 | 8.00 | [Meta-learning Update Rules For Unsupervised Representation Learning](https://openreview.net/forum?id=HkNDsiC9KQ) | 8, 8, 8 | 0.00 | Accept (Oral) |
| 18 | 8.00 | [Large Scale Gan Training For High Fidelity Natural Image Synthesis](https://openreview.net/forum?id=B1xsqj09Fm) | 8, 7, 9 | 0.82 | Accept (Oral) |
| 19 | 8.00 | [Unsupervised Learning Of The Set Of Local Maxima](https://openreview.net/forum?id=H1lqZhRcFm) | 8, 8, 8 | 0.00 | Accept (Poster) |
| 20 | 8.00 | [An Empirical Study Of Example Forgetting During Deep Neural Network Learning](https://openreview.net/forum?id=BJlxm30cKm) | 9, 8, 7 | 0.82 | Accept (Poster) |
| 21 | 7.67 | [Learning Robust Representations By Projecting Superficial Statistics Out](https://openreview.net/forum?id=rJEjjoR9K7) | 7, 7, 9 | 0.94 | Accept (Oral) |
| 22 | 7.67 | [Automatically Composing Representation Transformations As A Means For Generalization](https://openreview.net/forum?id=B1ffQnRcKX) | 7, 9, 7 | 0.94 | Accept (Poster) |
| 23 | 7.67 | [Identifying And Controlling Important Neurons In Neural Machine Translation](https://openreview.net/forum?id=H1z-PsR5KX) | 7, 10, 6 | 1.70 | Accept (Poster) |
| 24 | 7.67 | [Towards Robust, Locally Linear Deep Networks](https://openreview.net/forum?id=SylCrnCcFX) | 8, 8, 7 | 0.47 | Accept (Poster) |
| 25 | 7.67 | [Deep Decoder: Concise Image Representations From Untrained Non-convolutional Networks](https://openreview.net/forum?id=rylV-2C9KQ) | 8, 8, 7 | 0.47 | Accept (Poster) |
| 26 | 7.67 | [Lagging Inference Networks And Posterior Collapse In Variational Autoencoders](https://openreview.net/forum?id=rylDfnCqF7) | 7, 8, 8 | 0.47 | Accept (Poster) |
| 27 | 7.67 | [A Variational Inequality Perspective On Generative Adversarial Networks](https://openreview.net/forum?id=r1laEnA5Ym) | 8, 8, 7 | 0.47 | Accept (Poster) |
| 28 | 7.67 | [Robustness May Be At Odds With Accuracy](https://openreview.net/forum?id=SyxAb30cY7) | 8, 7, 8 | 0.47 | Accept (Poster) |
| 29 | 7.67 | [Knockoffgan: Generating Knockoffs For Feature Selection Using Generative Adversarial Networks](https://openreview.net/forum?id=ByeZ5jC5YQ) | 6, 10, 7 | 1.70 | Accept (Oral) |
| 30 | 7.67 | [Adaptive Input Representations For Neural Language Modeling](https://openreview.net/forum?id=ByxZX20qFQ) | 7, 8, 8 | 0.47 | Accept (Poster) |
| 31 | 7.67 | [The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks](https://openreview.net/forum?id=rJl-b3RcF7) | 5, 9, 9 | 1.89 | Accept (Oral) |
| 32 | 7.67 | [Critical Learning Periods In Deep Networks](https://openreview.net/forum?id=BkeStsCcKQ) | 9, 8, 6 | 1.25 | Accept (Poster) |
| 33 | 7.67 | [Composing Complex Skills By Learning Transition Policies](https://openreview.net/forum?id=rygrBhC5tQ) | 7, 9, 7 | 0.94 | Accept (Poster) |
| 34 | 7.67 | [Supervised Community Detection With Line Graph Neural Networks](https://openreview.net/forum?id=H1g0Z3A9Fm) | 6, 9, 8 | 1.25 | Accept (Poster) |
| 35 | 7.67 | [Learning Deep Representations By Mutual Information Estimation And Maximization](https://openreview.net/forum?id=Bklr3j0cKX) | 7, 7, 9 | 0.94 | Accept (Oral) |
| 36 | 7.67 | [Smoothing The Geometry Of Probabilistic Box Embeddings](https://openreview.net/forum?id=H1xSNiRcF7) | 8, 8, 7 | 0.47 | Accept (Oral) |
| 37 | 7.67 | [A2bcd: Asynchronous Acceleration With Optimal Complexity](https://openreview.net/forum?id=rylIAsCqYm) | 7, 7, 9 | 0.94 | Accept (Poster) |
| 38 | 7.67 | [Kernel Change-point Detection With Auxiliary Deep Generative Models](https://openreview.net/forum?id=r1GbfhRqF7) | 8, 8, 7 | 0.47 | Accept (Poster) |
| 39 | 7.67 | [Imagenet-trained Cnns Are Biased Towards Texture; Increasing Shape Bias Improves Accuracy And Robustness](https://openreview.net/forum?id=Bygh9j09KX) | 7, 8, 8 | 0.47 | Accept (Oral) |
| 40 | 7.67 | [Slalom: Fast, Verifiable And Private Execution Of Neural Networks In Trusted Hardware](https://openreview.net/forum?id=rJVorjCcKQ) | 7, 7, 9 | 0.94 | Accept (Oral) |
| 41 | 7.67 | [Sparse Dictionary Learning By Dynamical Neural Networks](https://openreview.net/forum?id=B1gstsCqt7) | 6, 9, 8 | 1.25 | Accept (Poster) |
| 42 | 7.50 | [On The Minimal Supervision For Training Any Binary Classifier From Only Unlabeled Data](https://openreview.net/forum?id=B1xWcj0qYm) | 7, 8, 8, 7 | 0.50 | Accept (Poster) |
| 43 | 7.50 | [Exploration By Random Network Distillation](https://openreview.net/forum?id=H1lJJnR5Ym) | 4, 9, 10, 7 | 2.29 | Accept (Poster) |
| 44 | 7.33 | [Dimensionality Reduction For Representing The Knowledge Of Probabilistic Models](https://openreview.net/forum?id=SygD-hCcF7) | 6, 7, 9 | 1.25 | Accept (Poster) |
| 45 | 7.33 | [Probabilistic Recursive Reasoning For Multi-agent Reinforcement Learning](https://openreview.net/forum?id=rkl6As0cF7) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 46 | 7.33 | [Approximability Of Discriminators Implies Diversity In Gans](https://openreview.net/forum?id=rJfW5oA5KQ) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 47 | 7.33 | [Evaluating Robustness Of Neural Networks With Mixed Integer Programming](https://openreview.net/forum?id=HyGIdiRqtm) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 48 | 7.33 | [Biologically-plausible Learning Algorithms Can Scale To Large Datasets](https://openreview.net/forum?id=SygvZ209F7) | 9, 9, 4 | 2.36 | Accept (Poster) |
| 49 | 7.33 | [Diagnosing And Enhancing Vae Models](https://openreview.net/forum?id=B1e0X3C9tQ) | 9, 6, 7 | 1.25 | Accept (Poster) |
| 50 | 7.33 | [Learning To Navigate The Web](https://openreview.net/forum?id=BJemQ209FQ) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 51 | 7.33 | [Transferring Knowledge Across Learning Processes](https://openreview.net/forum?id=HygBZnRctX) | 6, 8, 8 | 0.94 | Accept (Oral) |
| 52 | 7.33 | [Improving Differentiable Neural Computers Through Memory Masking, De-allocation, And Link Distribution Sharpness Control](https://openreview.net/forum?id=HyGEM3C9KQ) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 53 | 7.33 | [Towards Metamerism Via Foveated Style Transfer](https://openreview.net/forum?id=BJzbG20cFQ) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 54 | 7.33 | [Variance Reduction For Reinforcement Learning In Input-driven Environments](https://openreview.net/forum?id=Hyg1G2AqtQ) | 7, 9, 6 | 1.25 | Accept (Poster) |
| 55 | 7.33 | [Quaternion Recurrent Neural Networks](https://openreview.net/forum?id=ByMHvs0cFQ) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 56 | 7.33 | [Promp: Proximal Meta-policy Search](https://openreview.net/forum?id=SkxXCi0qFX) | 6, 7, 9 | 1.25 | Accept (Poster) |
| 57 | 7.33 | [Label Super-resolution Networks](https://openreview.net/forum?id=rkxwShA9Ym) | 7, 6, 9 | 1.25 | Accept (Poster) |
| 58 | 7.33 | [Learning Self-imitating Diverse Policies](https://openreview.net/forum?id=HyxzRsR9Y7) | 8, 6, 8 | 0.94 | Accept (Poster) |
| 59 | 7.33 | [Learning Protein Sequence Embeddings Using Information From Structure](https://openreview.net/forum?id=SygLehCqtm) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 60 | 7.33 | [Diffusion Scattering Transforms On Graphs](https://openreview.net/forum?id=BygqBiRcFQ) | 6, 9, 7 | 1.25 | Accept (Poster) |
| 61 | 7.33 | [Deep Frank-wolfe For Neural Network Optimization](https://openreview.net/forum?id=SyVU6s05K7) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 62 | 7.33 | [Gradient Descent Aligns The Layers Of Deep Linear Networks](https://openreview.net/forum?id=HJflg30qKX) | 7, 9, 6 | 1.25 | Accept (Poster) |
| 63 | 7.33 | [Recurrent Experience Replay In Distributed Reinforcement Learning](https://openreview.net/forum?id=r1lyTjAqYX) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 64 | 7.33 | [Large-scale Study Of Curiosity-driven Learning](https://openreview.net/forum?id=rJNwDjAqYX) | 6, 9, 7 | 1.25 | Accept (Poster) |
| 65 | 7.33 | [Learning Localized Generative Models For 3d Point Clouds Via Graph Convolution](https://openreview.net/forum?id=SJeXSo09FQ) | 9, 6, 7 | 1.25 | Accept (Poster) |
| 66 | 7.33 | [Prior Convictions: Black-box Adversarial Attacks With Bandits And Priors](https://openreview.net/forum?id=BkMiWhR5K7) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 67 | 7.33 | [Learning Latent Superstructures In Variational Autoencoders For Deep Multidimensional Clustering](https://openreview.net/forum?id=SJgNwi09Km) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 68 | 7.33 | [Learning Grid Cells As Vector Representation Of Self-position Coupled With Matrix Representation Of Self-motion](https://openreview.net/forum?id=Syx0Mh05YQ) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 69 | 7.33 | [Clarinet: Parallel Wave Generation In End-to-end Text-to-speech](https://openreview.net/forum?id=HklY120cYm) | 9, 6, 7 | 1.25 | Accept (Poster) |
| 70 | 7.33 | [Dynamic Sparse Graph For Efficient Deep Learning](https://openreview.net/forum?id=H1goBoR9F7) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 71 | 7.33 | [Learning To Remember More With Less Memorization](https://openreview.net/forum?id=r1xlvi0qYm) | 7, 8, 7 | 0.47 | Accept (Oral) |
| 72 | 7.33 | [Gan Dissection: Visualizing And Understanding Generative Adversarial Networks](https://openreview.net/forum?id=Hyg_X2C5FX) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 73 | 7.33 | [Detecting Egregious Responses In Neural Sequence-to-sequence Models](https://openreview.net/forum?id=HyNA5iRcFQ) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 74 | 7.33 | [Deep Layers As Stochastic Solvers](https://openreview.net/forum?id=ryxxCiRqYX) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 75 | 7.33 | [Small Nonlinearities In Activation Functions Create Bad Local Minima In Neural Networks](https://openreview.net/forum?id=rke_YiRct7) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 76 | 7.33 | [Efficient Training On Very Large Corpora Via Gramian Estimation](https://openreview.net/forum?id=Hke20iA9Y7) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 77 | 7.33 | [Diversity Is All You Need: Learning Skills Without A Reward Function](https://openreview.net/forum?id=SJx63jRqFm) | 8, 7, 7 | 0.47 | Accept (Poster) |
| 78 | 7.33 | [Instagan: Instance-aware Image-to-image Translation](https://openreview.net/forum?id=ryxwJhC9YX) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 79 | 7.33 | [Time-agnostic Prediction: Predicting Predictable Video Frames](https://openreview.net/forum?id=SyzVb3CcFX) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 80 | 7.33 | [Learning To Schedule Communication In Multi-agent Reinforcement Learning](https://openreview.net/forum?id=SJxu5iR9KQ) | 7, 8, 7 | 0.47 | Accept (Poster) |
| 81 | 7.33 | [No Training Required: Exploring Random Encoders For Sentence Classification](https://openreview.net/forum?id=BkgPajAcY7) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 82 | 7.33 | [Lanczosnet: Multi-scale Deep Graph Convolutional Networks](https://openreview.net/forum?id=BkedznAqKQ) | 7, 7, 8 | 0.47 | Accept (Poster) |
| 83 | 7.33 | [The Neuro-symbolic Concept Learner: Interpreting Scenes, Words, And Sentences From Natural Supervision](https://openreview.net/forum?id=rJgMlhRctm) | 7, 6, 9 | 1.25 | Accept (Oral) |
| 84 | 7.33 | [How Powerful Are Graph Neural Networks?](https://openreview.net/forum?id=ryGs6iA5Km) | 7, 7, 8 | 0.47 | Accept (Oral) |
| 85 | 7.25 | [Episodic Curiosity Through Reachability](https://openreview.net/forum?id=SkeK3s0qKQ) | 7, 8, 6, 8 | 0.83 | Accept (Poster) |
| 86 | 7.00 | [Strokenet: A Neural Painting Environment](https://openreview.net/forum?id=HJxwDiActX) | 7, 8, 6 | 0.82 | Accept (Poster) |
| 87 | 7.00 | [Discriminator-actor-critic: Addressing Sample Inefficiency And Reward Bias In Adversarial Imitation Learning](https://openreview.net/forum?id=Hk4fpoA5Km) | 8, 6, 7 | 0.82 | Accept (Poster) |
| 88 | 7.00 | [An Analytic Theory Of Generalization Dynamics And Transfer Learning In Deep Linear Networks](https://openreview.net/forum?id=ryfMLoCqtQ) | 8, 7, 6 | 0.82 | Accept (Poster) |
| 89 | 7.00 | [Feature Intertwiner For Object Detection](https://openreview.net/forum?id=SyxZJn05YX) | 5, 9, 7 | 1.63 | Accept (Poster) |
| 90 | 7.00 | [Learning Neural Pde Solvers With Convergence Guarantees](https://openreview.net/forum?id=rklaWn0qK7) | 7, 8, 6 | 0.82 | Accept (Poster) |
| 91 | 7.00 | [Knowledge Flow: Improve Upon Your Teachers](https://openreview.net/forum?id=BJeOioA9Y7) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 92 | 7.00 | [Multilingual Neural Machine Translation With Knowledge Distillation](https://openreview.net/forum?id=S1gUsoR9YX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 93 | 7.00 | [Texttovec: Deep Contextualized Neural Autoregressive Topic Models Of Language With Distributed Compositional Prior](https://openreview.net/forum?id=rkgoyn09KQ) | 7, 8, 6 | 0.82 | Accept (Poster) |
| 94 | 7.00 | [Supervised Policy Update For Deep Reinforcement Learning](https://openreview.net/forum?id=SJxTroR9F7) | 9, 6, 6 | 1.41 | Accept (Poster) |
| 95 | 7.00 | [Gansynth: Adversarial Neural Audio Synthesis](https://openreview.net/forum?id=H1xQVn09FX) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 96 | 7.00 | [Lemonade: Learned Motif And Neuronal Assembly Detection In Calcium Imaging Videos](https://openreview.net/forum?id=SkloDjAqYm) | 8, 5, 8 | 1.41 | Accept (Poster) |
| 97 | 7.00 | [The Comparative Power Of Relu Networks And Polynomial Kernels In The Presence Of Sparse Latent Structure](https://openreview.net/forum?id=rJgTTjA9tX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 98 | 7.00 | [Execution-guided Neural Program Synthesis](https://openreview.net/forum?id=H1gfOiAqYm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 99 | 7.00 | [Deterministic Variational Inference For Robust Bayesian Neural Networks](https://openreview.net/forum?id=B1l08oAct7) | 7, 7, 7 | 0.00 | Accept (Oral) |
| 100 | 7.00 | [Distributional Concavity Regularization For Gans](https://openreview.net/forum?id=SklEEnC5tQ) | 7, 8, 6, 7 | 0.71 | Accept (Poster) |
| 101 | 7.00 | [Som-vae: Interpretable Discrete Representation Learning On Time Series](https://openreview.net/forum?id=rygjcsR9Y7) | 9, 6, 6 | 1.41 | Accept (Poster) |
| 102 | 7.00 | [Variational Autoencoders With Jointly Optimized Latent Dependency Structure](https://openreview.net/forum?id=SJgsCjCqt7) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 103 | 7.00 | [Learning Sparse Relational Transition Models](https://openreview.net/forum?id=SJxsV2R5FQ) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 104 | 7.00 | [Adversarial Domain Adaptation For Stable Brain-machine Interfaces](https://openreview.net/forum?id=Hyx6Bi0qYm) | 9, 5, 7 | 1.63 | Accept (Poster) |
| 105 | 7.00 | [The Role Of Over-parametrization In Generalization Of Neural Networks](https://openreview.net/forum?id=BygfghAcYX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 106 | 7.00 | [Differentiable Learning-to-normalize Via Switchable Normalization](https://openreview.net/forum?id=ryggIs0cYQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 107 | 7.00 | [Stochastic Optimization Of Sorting Networks Via Continuous Relaxations](https://openreview.net/forum?id=H1eSS3CcKX) | 8, 7, 6 | 0.82 | Accept (Poster) |
| 108 | 7.00 | [A Statistical Approach To Assessing Neural Network Robustness](https://openreview.net/forum?id=S1xcx3C5FX) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 109 | 7.00 | [Darts: Differentiable Architecture Search](https://openreview.net/forum?id=S1eYHoC5FX) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 110 | 7.00 | [Learning Concise Representations For Regression By Evolving Networks Of Trees](https://openreview.net/forum?id=Hke-JhA9Y7) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 111 | 7.00 | [Padam: Closing The Generalization Gap Of Adaptive Gradient Methods In Training Deep Neural Networks](https://openreview.net/forum?id=BJll6o09tm) | 6, 6, 9 | 1.41 | Reject |
| 112 | 7.00 | [A Universal Music Translation Network](https://openreview.net/forum?id=HJGkisCcKm) | 8, 7, 6 | 0.82 | Accept (Poster) |
| 113 | 7.00 | [Deep Learning 3d Shapes Using Alt-az Anisotropic 2-sphere Convolution](https://openreview.net/forum?id=rkeSiiA5Fm) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 114 | 7.00 | [Energy-constrained Compression For Deep Neural Networks Via Weighted Sparse Projection And Layer Input Masking](https://openreview.net/forum?id=BylBr3C9K7) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 115 | 7.00 | [Deep Graph Infomax](https://openreview.net/forum?id=rklz9iAcKQ) | 9, 5, 7 | 1.63 | Accept (Poster) |
| 116 | 7.00 | [On The Universal Approximability And Complexity Bounds Of Quantized Relu Neural Networks](https://openreview.net/forum?id=SJe9rh0cFX) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 117 | 7.00 | [Global-to-local Memory Pointer Networks For Task-oriented Dialogue](https://openreview.net/forum?id=ryxnHhRqFm) | 8, 8, 5 | 1.41 | Accept (Poster) |
| 118 | 7.00 | [Self-monitoring Navigation Agent Via Auxiliary Progress Estimation](https://openreview.net/forum?id=r1GAsjC5Fm) | 8, 6, 7 | 0.82 | Accept (Poster) |
| 119 | 7.00 | [Signsgd Via Zeroth-order Oracle](https://openreview.net/forum?id=BJe-DsC5Fm) | 8, 7, 6 | 0.82 | Accept (Poster) |
| 120 | 7.00 | [Learning Particle Dynamics For Manipulating Rigid Bodies, Deformable Objects, And Fluids](https://openreview.net/forum?id=rJgbSn09Ym) | 8, 6, 7 | 0.82 | Accept (Poster) |
| 121 | 7.00 | [Generative Code Modeling With Graphs](https://openreview.net/forum?id=Bke4KsA5FX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 122 | 7.00 | [The Deep Weight Prior](https://openreview.net/forum?id=ByGuynAct7) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 123 | 7.00 | [Bounce And Learn: Modeling Scene Dynamics With Real-world Bounces](https://openreview.net/forum?id=BJxssoA5KX) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 124 | 7.00 | [Quasi-hyperbolic Momentum And Adam For Deep Learning](https://openreview.net/forum?id=S1fUpoR5FQ) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 125 | 7.00 | [Integer Networks For Data Compression With Latent-variable Models](https://openreview.net/forum?id=S1zz2i0cY7) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 126 | 7.00 | [Deep Online Learning Via Meta-learning: Continual Adaptation For Model-based Rl](https://openreview.net/forum?id=HyxAfnA5tm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 127 | 7.00 | [Are Adversarial Examples Inevitable?](https://openreview.net/forum?id=r1lWUoA9FQ) | 7, 8, 6 | 0.82 | Accept (Poster) |
| 128 | 7.00 | [Learning To Screen For Fast Softmax Inference On Large Vocabulary Neural Networks](https://openreview.net/forum?id=ByeMB3Act7) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 129 | 7.00 | [Information-directed Exploration For Deep Reinforcement Learning](https://openreview.net/forum?id=Byx83s09Km) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 130 | 7.00 | [Rotdcf: Decomposition Of Convolutional Filters For Rotation-equivariant Deep Networks](https://openreview.net/forum?id=H1gTEj09FX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 131 | 7.00 | [Theoretical Analysis Of Auto Rate-tuning By Batch Normalization](https://openreview.net/forum?id=rkxQ-nA9FX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 132 | 7.00 | [Visual Semantic Navigation Using Scene Priors](https://openreview.net/forum?id=HJeRkh05Km) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 133 | 7.00 | [Woulda, Coulda, Shoulda: Counterfactually-guided Policy Search](https://openreview.net/forum?id=BJG0voC9YQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 134 | 7.00 | [Function Space Particle Optimization For Bayesian Neural Networks](https://openreview.net/forum?id=BkgtDsCcKQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 135 | 7.00 | [Eidetic 3d Lstm: A Model For Video Prediction And Beyond](https://openreview.net/forum?id=B1lKS2AqtX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 136 | 7.00 | [Wizard Of Wikipedia: Knowledge-powered Conversational Agents](https://openreview.net/forum?id=r1l73iRqKm) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 137 | 7.00 | [Meta-learning Probabilistic Inference For Prediction](https://openreview.net/forum?id=HkxStoC5F7) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 138 | 7.00 | [Don't Settle For Average, Go For The Max: Fuzzy Sets And Max-pooled Word Vectors](https://openreview.net/forum?id=SkxXg2C5FX) | 8, 8, 5 | 1.41 | Accept (Poster) |
| 139 | 7.00 | [Solving The Rubik's Cube With Approximate Policy Iteration](https://openreview.net/forum?id=Hyfn2jCcKm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 140 | 7.00 | [Learning A Meta-solver For Syntax-guided Program Synthesis](https://openreview.net/forum?id=Syl8Sn0cK7) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 141 | 7.00 | [Rotate: Knowledge Graph Embedding By Relational Rotation In Complex Space](https://openreview.net/forum?id=HkgEQnRqYQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 142 | 7.00 | [Generative Question Answering: Learning To Answer The Whole Question](https://openreview.net/forum?id=Bkx0RjA9tX) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 143 | 7.00 | [Local Sgd Converges Fast And Communicates Little](https://openreview.net/forum?id=S1g2JnRcFX) | 8, 5, 8 | 1.41 | Accept (Poster) |
| 144 | 7.00 | [Ffjord: Free-form Continuous Dynamics For Scalable Reversible Generative Models](https://openreview.net/forum?id=rJxgknCcK7) | 7, 7, 7 | 0.00 | Accept (Oral) |
| 145 | 7.00 | [Adashift: Decorrelation And Convergence Of Adaptive Learning Rate Methods](https://openreview.net/forum?id=HkgTkhRcKQ) | 6, 6, 9 | 1.41 | Accept (Poster) |
| 146 | 7.00 | [What Do You Learn From Context? Probing For Sentence Structure In Contextualized Word Representations](https://openreview.net/forum?id=SJzSgnRcKX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 147 | 7.00 | [Modeling Uncertainty With Hedged Instance Embeddings](https://openreview.net/forum?id=r1xQQhAqKX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 148 | 7.00 | [Learning Implicitly Recurrent Cnns Through Parameter Sharing](https://openreview.net/forum?id=rJgYxn09Fm) | 8, 7, 6 | 0.82 | Accept (Poster) |
| 149 | 7.00 | [Arm: Augment-reinforce-merge Gradient For Stochastic Binary Networks](https://openreview.net/forum?id=S1lg0jAcYm) | 8, 6, 7 | 0.82 | Accept (Poster) |
| 150 | 7.00 | [On The Loss Landscape Of A Class Of Deep Neural Networks With No Bad Local Valleys](https://openreview.net/forum?id=HJgXsjA5tQ) | 7, 8, 6 | 0.82 | Accept (Poster) |
| 151 | 7.00 | [Riemannian Adaptive Optimization Methods](https://openreview.net/forum?id=r1eiqi09K7) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 152 | 7.00 | [Learning To Learn Without Forgetting By Maximizing Transfer And Minimizing Interference](https://openreview.net/forum?id=B1gTShAct7) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 153 | 7.00 | [G-sgd: Optimizing Relu Neural Networks In Its Positively Scale-invariant Space](https://openreview.net/forum?id=SyxfEn09Y7) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 154 | 7.00 | [Reasoning About Physical Interactions With Object-oriented Prediction And Planning](https://openreview.net/forum?id=HJx9EhC9tQ) | 5, 7, 9 | 1.63 | Accept (Poster) |
| 155 | 7.00 | [Hindsight Policy Gradients](https://openreview.net/forum?id=Bkg2viA5FQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 156 | 7.00 | [Unsupervised Domain Adaptation For Distance Metric Learning](https://openreview.net/forum?id=BklhAj09K7) | 8, 5, 8 | 1.41 | Accept (Poster) |
| 157 | 7.00 | [Learning Mixed-curvature Representations In Product Spaces](https://openreview.net/forum?id=HJxeWnCcF7) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 158 | 7.00 | [Auxiliary Variational Mcmc](https://openreview.net/forum?id=r1NJqsRctX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 159 | 7.00 | [Unsupervised Speech Recognition Via Segmental Empirical Output Distribution Matching](https://openreview.net/forum?id=Bylmkh05KX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 160 | 7.00 | [On Computation And Generalization Of Generative Adversarial Networks Under Spectrum Control](https://openreview.net/forum?id=rJNH6sAqY7) | 8, 6, 7 | 0.82 | Accept (Poster) |
| 161 | 7.00 | [Optimal Control Via Neural Networks: A Convex Approach](https://openreview.net/forum?id=H1MW72AcK7) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 162 | 7.00 | [Whitening And Coloring Batch Transform For Gans](https://openreview.net/forum?id=S1x2Fj0qKQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 163 | 7.00 | [Deep, Skinny Neural Networks Are Not Universal Approximators](https://openreview.net/forum?id=ryGgSsAcFQ) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 164 | 7.00 | [Nadpex: An On-policy Temporally Consistent Exploration Method For Deep Reinforcement Learning](https://openreview.net/forum?id=rkxciiC9tm) | 8, 6, 7 | 0.82 | Accept (Poster) |
| 165 | 7.00 | [Learning To Solve Circuit-sat: An Unsupervised Differentiable Approach](https://openreview.net/forum?id=BJxgz2R9t7) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 166 | 7.00 | [A Convergence Analysis Of Gradient Descent For Deep Linear Neural Networks](https://openreview.net/forum?id=SkMQg3C5K7) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 167 | 7.00 | [Learning A Sat Solver From Single-bit Supervision](https://openreview.net/forum?id=HJMC_iA5tm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 168 | 7.00 | [Generating Multiple Objects At Spatially Distinct Locations](https://openreview.net/forum?id=H1edIiA9KQ) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 169 | 7.00 | [K For The Price Of 1: Parameter-efficient Multi-task And Transfer Learning](https://openreview.net/forum?id=BJxvEh0cFQ) | 7, 6, 8 | 0.82 | Accept (Poster) |
| 170 | 7.00 | [Bias-reduced Uncertainty Estimation For Deep Neural Classifiers](https://openreview.net/forum?id=SJfb5jCqKm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 171 | 7.00 | [Probabilistic Neural-symbolic Models For Interpretable Visual Question Answering](https://openreview.net/forum?id=ryxhB3CcK7) | 8, 6, 7 | 0.82 | Reject |
| 172 | 7.00 | [Representation Degeneration Problem In Training Natural Language Generation Models](https://openreview.net/forum?id=SkEYojRqtm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 173 | 7.00 | [Neural Network Gradient-based Learning Of Black-box Function Interfaces](https://openreview.net/forum?id=r1e13s05YX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 174 | 7.00 | [A Data-driven And Distributed Approach To Sparse Signal Representation And Recovery](https://openreview.net/forum?id=B1xVTjCqKQ) | 8, 7, 6 | 0.82 | Accept (Poster) |
| 175 | 7.00 | [Relaxed Quantization For Discretized Neural Networks](https://openreview.net/forum?id=HkxjYoCqKX) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 176 | 7.00 | [Invariant And Equivariant Graph Networks](https://openreview.net/forum?id=Syx72jC9tm) | 8, 4, 9 | 2.16 | Accept (Poster) |
| 177 | 7.00 | [Dyrep: Learning Representations Over Dynamic Graphs](https://openreview.net/forum?id=HyePrhR5KX) | 6, 7, 8 | 0.82 | Accept (Poster) |
| 178 | 7.00 | [The Laplacian In Rl: Learning Representations With Efficient Approximations](https://openreview.net/forum?id=HJlNpoA5YQ) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 179 | 7.00 | [Learning Recurrent Binary/ternary Weights](https://openreview.net/forum?id=HkNGYjR9FX) | 6, 8, 7 | 0.82 | Accept (Poster) |
| 180 | 7.00 | [How Important Is A Neuron](https://openreview.net/forum?id=SylKoo0cKm) | 7, 7, 7 | 0.00 | Accept (Poster) |
| 181 | 6.80 | [Subgradient Descent Learns Orthogonal Dictionaries](https://openreview.net/forum?id=HklSf3CqKm) | 7, 7, 7, 7, 6 | 0.40 | Accept (Poster) |
| 182 | 6.75 | [Unsupervised Learning Via Meta-learning](https://openreview.net/forum?id=r1My6sR9tX) | 7, 6, 8, 6 | 0.83 | Accept (Poster) |
| 183 | 6.75 | [Bayesian Deep Convolutional Networks With Many Channels Are Gaussian Processes](https://openreview.net/forum?id=B1g30j0qF7) | 7, 7, 7, 6 | 0.43 | Accept (Poster) |
| 184 | 6.75 | [Deterministic Pac-bayesian Generalization Bounds For Deep Networks Via Generalizing Noise-resilience](https://openreview.net/forum?id=Hygn2o0qKX) | 8, 7, 7, 5 | 1.09 | Accept (Poster) |
| 185 | 6.67 | [Structured Adversarial Attack: Towards General Implementation And Better Interpretability](https://openreview.net/forum?id=BkgzniCqY7) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 186 | 6.67 | [Adaptive Estimators Show Information Compression In Deep Neural Networks](https://openreview.net/forum?id=SkeZisA5t7) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 187 | 6.67 | [Tree-structured Recurrent Switching Linear Dynamical Systems For Multi-scale Modeling](https://openreview.net/forum?id=HkzRQhR9YX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 188 | 6.67 | [Residual Non-local Attention Networks For Image Restoration](https://openreview.net/forum?id=HkeGhoA5FX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 189 | 6.67 | [Cem-rl: Combining Evolutionary And Gradient-based Methods For Policy Search](https://openreview.net/forum?id=BkeU5j0ctQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 190 | 6.67 | [Marginal Policy Gradients: A Unified Family Of Estimators For Bounded Action Spaces With Applications](https://openreview.net/forum?id=HkgqFiAcFm) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 191 | 6.67 | [Relgan: Relational Generative Adversarial Networks For Text Generation](https://openreview.net/forum?id=rJedV3R5tm) | 6, 8, 6 | 0.94 | Accept (Poster) |
| 192 | 6.67 | [Defensive Quantization: When Efficiency Meets Robustness](https://openreview.net/forum?id=ryetZ20ctX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 193 | 6.67 | [Policy Transfer With Strategy Optimization](https://openreview.net/forum?id=H1g6osRcFQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 194 | 6.67 | [Big-little Net: An Efficient Multi-scale Feature Representation For Visual And Speech Recognition](https://openreview.net/forum?id=HJMHpjC9Ym) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 195 | 6.67 | [Universal Transformers](https://openreview.net/forum?id=HyzdRiR9Y7) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 196 | 6.67 | [Active Learning With Partial Feedback](https://openreview.net/forum?id=HJfSEnRqKQ) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 197 | 6.67 | [There Are Many Consistent Explanations Of Unlabeled Data: Why You Should Average](https://openreview.net/forum?id=rkgKBhA5Y7) | 6, 8, 6 | 0.94 | Accept (Poster) |
| 198 | 6.67 | [Unsupervised Control Through Non-parametric Discriminative Rewards](https://openreview.net/forum?id=r1eVMnA9K7) | 8, 5, 7 | 1.25 | Accept (Poster) |
| 199 | 6.67 | [On The Convergence Of A Class Of Adam-type Algorithms For Non-convex Optimization](https://openreview.net/forum?id=H1x-x309tm) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 200 | 6.67 | [Adaptivity Of Deep Relu Network For Learning In Besov And Mixed Smooth Besov Spaces: Optimal Rate And Curse Of Dimensionality](https://openreview.net/forum?id=H1ebTsActm) | 8, 6, 6 | 0.94 | Accept (Poster) |
| 201 | 6.67 | [Predicting The Generalization Gap In Deep Networks With Margin Distributions](https://openreview.net/forum?id=HJlQfnCqKX) | 5, 9, 6 | 1.70 | Accept (Poster) |
| 202 | 6.67 | [A Mean Field Theory Of Batch Normalization](https://openreview.net/forum?id=SyMDXnCcF7) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 203 | 6.67 | [Don't Let Your Discriminator Be Fooled](https://openreview.net/forum?id=HJE6X305Fm) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 204 | 6.67 | [L-shapley And C-shapley: Efficient Model Interpretation For Structured Data](https://openreview.net/forum?id=S1E3Ko09F7) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 205 | 6.67 | [Hyperbolic Attention Networks](https://openreview.net/forum?id=rJxHsjRqFQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 206 | 6.67 | [Learning To Make Analogies By Contrasting Abstract Relational Structure](https://openreview.net/forum?id=SylLYsCcFm) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 207 | 6.67 | [Meta-learning For Stochastic Gradient Mcmc](https://openreview.net/forum?id=HkeoOo09YX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 208 | 6.67 | [Directed-info Gail: Learning Hierarchical Policies From Unsegmented Demonstrations Using Directed Information](https://openreview.net/forum?id=BJeWUs05KQ) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 209 | 6.67 | [Building Dynamic Knowledge Graphs From Text Using Machine Reading Comprehension](https://openreview.net/forum?id=S1lhbnRqF7) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 210 | 6.67 | [Proxquant: Quantized Neural Networks Via Proximal Operators](https://openreview.net/forum?id=HyzMyhCcK7) | 8, 7, 5 | 1.25 | Accept (Poster) |
| 211 | 6.67 | [Emergent Coordination Through Competition](https://openreview.net/forum?id=BkG8sjR5Km) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 212 | 6.67 | [Doubly Reparameterized Gradient Estimators For Monte Carlo Objectives](https://openreview.net/forum?id=HkG3e205K7) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 213 | 6.67 | [Learning To Understand Goal Specifications By Modelling Reward](https://openreview.net/forum?id=H1xsSjC9Ym) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 214 | 6.67 | [Off-policy Evaluation And Learning From Logged Bandit Feedback: Error Reduction Via Surrogate Policy](https://openreview.net/forum?id=HklKui0ct7) | 6, 8, 6 | 0.94 | Accept (Poster) |
| 215 | 6.67 | [Improving Mmd-gan Training With Repulsive Loss Function](https://openreview.net/forum?id=HygjqjR9Km) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 216 | 6.67 | [Probgan: Towards Probabilistic Gan With Theoretical Guarantees](https://openreview.net/forum?id=H1l7bnR5Ym) | 6, 5, 9 | 1.70 | Accept (Poster) |
| 217 | 6.67 | [Three Mechanisms Of Weight Decay Regularization](https://openreview.net/forum?id=B1lz-3Rct7) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 218 | 6.67 | [Hierarchical Rl Using An Ensemble Of Proprioceptive Periodic Policies](https://openreview.net/forum?id=SJz1x20cFQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 219 | 6.67 | [Detecting Adversarial Examples Via Neural Fingerprinting](https://openreview.net/forum?id=SJekyhCctQ) | 5, 9, 6 | 1.70 | Reject |
| 220 | 6.67 | [Diversity-sensitive Conditional Generative Adversarial Networks](https://openreview.net/forum?id=rJliMh09F7) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 221 | 6.67 | [Optimal Completion Distillation For Sequence Learning](https://openreview.net/forum?id=rkMW1hRqKX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 222 | 6.67 | [Flowqa: Grasping Flow In History For Conversational Machine Comprehension](https://openreview.net/forum?id=ByftGnR9KX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 223 | 6.67 | [Towards The First Adversarially Robust Neural Network Model On Mnist](https://openreview.net/forum?id=S1EHOsC9tX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 224 | 6.67 | [Sample Efficient Adaptive Text-to-speech](https://openreview.net/forum?id=rkzjUoAcFX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 225 | 6.67 | [Latent Convolutional Models](https://openreview.net/forum?id=HJGciiR5Y7) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 226 | 6.67 | [Minimal Images In Deep Neural Networks: Fragile Object Recognition In Natural Images](https://openreview.net/forum?id=S1xNb2A9YX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 227 | 6.67 | [Universal Stagewise Learning For Non-convex Problems With Convergence On Averaged Solutions](https://openreview.net/forum?id=Syx5V2CcFm) | 8, 6, 6 | 0.94 | Accept (Poster) |
| 228 | 6.67 | [Learning Multimodal Graph-to-graph Translation For Molecule Optimization](https://openreview.net/forum?id=B1xJAsA5F7) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 229 | 6.67 | [Autoloss: Learning Discrete Schedule For Alternate Optimization](https://openreview.net/forum?id=BJgK6iA5KX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 230 | 6.67 | [Efficient Lifelong Learning With A-gem](https://openreview.net/forum?id=Hkf2_sC5FX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 231 | 6.67 | [Spherical Cnns On Unstructured Grids](https://openreview.net/forum?id=Bkl-43C9FQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 232 | 6.67 | [Differentiable Perturb-and-parse: Semi-supervised Parsing With A Structured Variational Autoencoder](https://openreview.net/forum?id=BJlgNh0qKQ) | 8, 7, 5 | 1.25 | Accept (Poster) |
| 233 | 6.67 | [Practical Lossless Compression With Latent Variables Using Bits Back Coding](https://openreview.net/forum?id=ryE98iR5tm) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 234 | 6.67 | [Analysis Of Quantized Models](https://openreview.net/forum?id=ryM_IoAqYX) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 235 | 6.67 | [Detecting Memorization In Relu Networks](https://openreview.net/forum?id=HJeB0sC9Fm) | 5, 6, 9 | 1.70 | Reject |
| 236 | 6.67 | [Snas: Stochastic Neural Architecture Search](https://openreview.net/forum?id=rylqooRqK7) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 237 | 6.67 | [Pate-gan: Generating Synthetic Data With Differential Privacy Guarantees](https://openreview.net/forum?id=S1zk9iRqF7) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 238 | 6.67 | [Principled Deep Neural Network Training Through Linear Programming](https://openreview.net/forum?id=HkMwHsCctm) | 6, 6, 8 | 0.94 | Reject |
| 239 | 6.67 | [Cot: Cooperative Training For Generative Modeling Of Discrete Data](https://openreview.net/forum?id=SkxxIs0qY7) | 7, 7, 6 | 0.47 | Reject |
| 240 | 6.67 | [On The Turing Completeness Of Modern Neural Network Architectures](https://openreview.net/forum?id=HyGBdo0qFm) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 241 | 6.67 | [Layoutgan: Generating Graphic Layouts With Wireframe Discriminators](https://openreview.net/forum?id=HJxB5sRcFQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 242 | 6.67 | [Learning Factorized Multimodal Representations](https://openreview.net/forum?id=rygqqsA9KX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 243 | 6.67 | [Phase-aware Speech Enhancement With Deep Complex U-net](https://openreview.net/forum?id=SkeRTsAcYm) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 244 | 6.67 | [Go Gradient For Expectation-based Objectives](https://openreview.net/forum?id=ryf6Fs09YX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 245 | 6.67 | [Analyzing Inverse Problems With Invertible Neural Networks](https://openreview.net/forum?id=rJed6j0cKX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 246 | 6.67 | [Deep Reinforcement Learning With Relational Inductive Biases](https://openreview.net/forum?id=HkxaFoC9KQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 247 | 6.67 | [Janossy Pooling: Learning Deep Permutation-invariant Functions For Variable-size Inputs](https://openreview.net/forum?id=BJluy2RcFm) | 7, 5, 8 | 1.25 | Accept (Poster) |
| 248 | 6.67 | [Improving Generalization And Stability Of Generative Adversarial Networks](https://openreview.net/forum?id=ByxPYjC5KQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 249 | 6.67 | [Preconditioner On Matrix Lie Group For Sgd](https://openreview.net/forum?id=Bye5SiAqKX) | 8, 5, 7 | 1.25 | Accept (Poster) |
| 250 | 6.67 | [Deep Anomaly Detection With Outlier Exposure](https://openreview.net/forum?id=HyxCxhRcY7) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 251 | 6.67 | [Attention, Learn To Solve Routing Problems!](https://openreview.net/forum?id=ByxBFsRqYm) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 252 | 6.67 | [Learning What And Where To Attend](https://openreview.net/forum?id=BJgLg3R9KQ) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 253 | 6.67 | [Query-efficient Hard-label Black-box Attack: An Optimization-based Approach](https://openreview.net/forum?id=rJlk6iRqKX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 254 | 6.67 | [Recall Traces: Backtracking Models For Efficient Reinforcement Learning](https://openreview.net/forum?id=HygsfnR9Ym) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 255 | 6.67 | [Learning To Infer And Execute 3d Shape Programs](https://openreview.net/forum?id=rylNH20qFQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 256 | 6.67 | [Dom-q-net: Grounded Rl On Structured Language](https://openreview.net/forum?id=HJgd1nAqFX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 257 | 6.67 | [Toward Understanding The Impact Of Staleness In Distributed Machine Learning](https://openreview.net/forum?id=BylQV305YQ) | 4, 9, 7 | 2.05 | Accept (Poster) |
| 258 | 6.67 | [Graph Hypernetworks For Neural Architecture Search](https://openreview.net/forum?id=rkgW0oA9FX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 259 | 6.67 | [A Generative Model For Electron Paths](https://openreview.net/forum?id=r1x4BnCqKX) | 8, 4, 8 | 1.89 | Accept (Poster) |
| 260 | 6.67 | [Bayesian Prediction Of Future Street Scenes Using Synthetic Likelihoods](https://openreview.net/forum?id=rkgK3oC5Fm) | 6, 8, 6 | 0.94 | Accept (Poster) |
| 261 | 6.67 | [Disjoint Mapping Network For Cross-modal Matching Of Voices And Faces](https://openreview.net/forum?id=B1exrnCcF7) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 262 | 6.67 | [Complement Objective Training](https://openreview.net/forum?id=HyM7AiA5YX) | 5, 8, 7 | 1.25 | Accept (Poster) |
| 263 | 6.67 | [Value Propagation Networks](https://openreview.net/forum?id=SJG6G2RqtX) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 264 | 6.67 | [Trellis Networks For Sequence Modeling](https://openreview.net/forum?id=HyeVtoRqtQ) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 265 | 6.67 | [Non-vacuous Generalization Bounds At The Imagenet Scale: A Pac-bayesian Compression Approach](https://openreview.net/forum?id=BJgqqsAct7) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 266 | 6.67 | [Contingency-aware Exploration In Reinforcement Learning](https://openreview.net/forum?id=HyxGB2AcY7) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 267 | 6.67 | [Context-adaptive Entropy Model For End-to-end Optimized Image Compression](https://openreview.net/forum?id=HyxKIiAqYQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 268 | 6.67 | [Learning Finite State Representations Of Recurrent Policy Networks](https://openreview.net/forum?id=S1gOpsCctm) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 269 | 6.67 | [Do Deep Generative Models Know What They Don't Know?](https://openreview.net/forum?id=H1xwNhCcYm) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 270 | 6.67 | [Learning Two-layer Neural Networks With Symmetric Inputs](https://openreview.net/forum?id=H1xipsA5K7) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 271 | 6.67 | [Minimal Random Code Learning: Getting Bits Back From Compressed Model Parameters](https://openreview.net/forum?id=r1f0YiCctm) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 272 | 6.67 | [Noodl: Provable Online Dictionary Learning And Sparse Coding](https://openreview.net/forum?id=HJeu43ActQ) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 273 | 6.67 | [Approximating Cnns With Bag-of-local-features Models Works Surprisingly Well On Imagenet](https://openreview.net/forum?id=SkfMWhAqYQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 274 | 6.67 | [Understanding Straight-through Estimator In Training Activation Quantized Neural Nets](https://openreview.net/forum?id=Skh4jRcKQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 275 | 6.67 | [Antisymmetricrnn: A Dynamical System View On Recurrent Neural Networks](https://openreview.net/forum?id=ryxepo0cFX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 276 | 6.67 | [The Limitations Of Adversarial Training And The Blind-spot Attack](https://openreview.net/forum?id=HylTBhA5tQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 277 | 6.67 | [A Rotation-equivariant Convolutional Neural Network Model Of Primary Visual Cortex](https://openreview.net/forum?id=H1fU8iAqKX) | 7, 5, 8 | 1.25 | Accept (Poster) |
| 278 | 6.67 | [Generalized Tensor Models For Recurrent Neural Networks](https://openreview.net/forum?id=r1gNni0qtm) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 279 | 6.67 | [Adversarial Attacks On Graph Neural Networks Via Meta Learning](https://openreview.net/forum?id=Bylnx209YX) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 280 | 6.67 | [Training For Faster Adversarial Robustness Verification Via Inducing Relu Stability](https://openreview.net/forum?id=BJfIVjAcKm) | 8, 7, 5 | 1.25 | Accept (Poster) |
| 281 | 6.67 | [Adv-bnn: Improved Adversarial Defense Through Robust Bayesian Neural Network](https://openreview.net/forum?id=rk4Qso0cKm) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 282 | 6.67 | [Initialized Equilibrium Propagation For Backprop-free Training](https://openreview.net/forum?id=B1GMDsR5tm) | 5, 8, 7 | 1.25 | Accept (Poster) |
| 283 | 6.67 | [Learning To Design Rna](https://openreview.net/forum?id=ByfyHh05tQ) | 6, 6, 8 | 0.94 | Accept (Poster) |
| 284 | 6.67 | [Adef: An Iterative Algorithm To Construct Adversarial Deformations](https://openreview.net/forum?id=Hk4dFjR5K7) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 285 | 6.67 | [Stable Opponent Shaping In Differentiable Games](https://openreview.net/forum?id=SyGjjsC5tQ) | 8, 6, 6 | 0.94 | Accept (Poster) |
| 286 | 6.67 | [Spigan: Privileged Adversarial Learning From Simulation](https://openreview.net/forum?id=rkxoNnC5FQ) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 287 | 6.67 | [Metropolis-hastings View On Variational Inference And Adversarial Training](https://openreview.net/forum?id=Hkg313AcFX) | 5, 6, 9 | 1.70 | Reject |
| 288 | 6.67 | [Beyond Pixel Norm-balls: Parametric Adversaries Using An Analytically Differentiable Renderer](https://openreview.net/forum?id=SJl2niR9KQ) | 7, 7, 6 | 0.47 | Accept (Poster) |
| 289 | 6.67 | [Adaptive Posterior Learning: Few-shot Learning With A Surprise-based Memory Module](https://openreview.net/forum?id=ByeSdsC9Km) | 6, 7, 7 | 0.47 | Accept (Poster) |
| 290 | 6.67 | [Glue: A Multi-task Benchmark And Analysis Platform For Natural Language Understanding](https://openreview.net/forum?id=rJ4km2R5t7) | 7, 5, 8 | 1.25 | Accept (Poster) |
| 291 | 6.67 | [Looking For Elmo's Friends: Sentence-level Pretraining Beyond Language Modeling](https://openreview.net/forum?id=Bkl87h09FX) | 5, 7, 8 | 1.25 | Reject |
| 292 | 6.67 | [Misgan: Learning From Incomplete Data With Generative Adversarial Networks](https://openreview.net/forum?id=S1lDV3RcKm) | 7, 6, 7 | 0.47 | Accept (Poster) |
| 293 | 6.50 | [Gradient Descent Provably Optimizes Over-parameterized Neural Networks](https://openreview.net/forum?id=S1eK3i09YQ) | 3, 8, 8, 7 | 2.06 | Accept (Poster) |
| 294 | 6.50 | [Relational Forward Models For Multi-agent Learning](https://openreview.net/forum?id=rJlEojAqFm) | 7, 6, 7, 6 | 0.50 | Accept (Poster) |
| 295 | 6.50 | [Dynamic Channel Pruning: Feature Boosting And Suppression](https://openreview.net/forum?id=BJxh2j0qYm) | 7, 6, 7, 6 | 0.50 | Accept (Poster) |
| 296 | 6.50 | [Learning Protein Structure With A Differentiable Simulator](https://openreview.net/forum?id=Byg3y3C9Km) | 6, 7, 7, 6 | 0.50 | Accept (Oral) |
| 297 | 6.50 | [Preferences Implicit In The State Of The World](https://openreview.net/forum?id=rkevMnRqYQ) | 6, 7, 6, 7 | 0.50 | Accept (Poster) |
| 298 | 6.50 | [Peernets: Exploiting Peer Wisdom Against Adversarial Attacks](https://openreview.net/forum?id=Sk4jFoA9K7) | 7, 6 | 0.50 | Accept (Poster) |
| 299 | 6.33 | [Multilingual Neural Machine Translation With Soft Decoupled Encoding](https://openreview.net/forum?id=Skeke3C5Fm) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 300 | 6.33 | [Analysing Mathematical Reasoning Abilities Of Neural Models](https://openreview.net/forum?id=H1gR5iR5FX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 301 | 6.33 | [Minimum Divergence Vs. Maximum Margin: An Empirical Comparison On Seq2seq Models](https://openreview.net/forum?id=H1xD9sR5Fm) | 5, 7, 7 | 0.94 | Accept (Poster) |
| 302 | 6.33 | [Self-tuning Networks: Bilevel Optimization Of Hyperparameters Using Structured Best-response Functions](https://openreview.net/forum?id=r1eEG20qKQ) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 303 | 6.33 | [Learning Disentangled Representations With Reference-based Variational Autoencoders](https://openreview.net/forum?id=rkxraoRcF7) | 7, 6, 6 | 0.47 | Reject |
| 304 | 6.33 | [Remember And Forget For Experience Replay](https://openreview.net/forum?id=Bye9LiR9YX) | 7, 6, 6 | 0.47 | Reject |
| 305 | 6.33 | [Dpsnet: End-to-end Deep Plane Sweep Stereo](https://openreview.net/forum?id=ryeYHi0ctQ) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 306 | 6.33 | [On Tighter Generalization Bounds For Deep Neural Networks: Cnns, Resnets, And Beyond](https://openreview.net/forum?id=SJzwvoCqF7) | 5, 7, 7 | 0.94 | Reject |
| 307 | 6.33 | [Measuring Compositionality In Representation Learning](https://openreview.net/forum?id=HJz05o0qK7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 308 | 6.33 | [Reward Constrained Policy Optimization](https://openreview.net/forum?id=SkfrvsA9FX) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 309 | 6.33 | [Regularized Learning For Domain Adaptation Under Label Shifts](https://openreview.net/forum?id=rJl0r3R9KX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 310 | 6.33 | [A Differentiable Self-disambiguated Sense Embedding Model Via Scaled Gumbel Softmax](https://openreview.net/forum?id=Hyls7h05FQ) | 7, 6, 6 | 0.47 | Reject |
| 311 | 6.33 | [Preventing Posterior Collapse With Delta-vaes](https://openreview.net/forum?id=BJe0Gn0cY7) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 312 | 6.33 | [Efficient Augmentation Via Data Subsampling](https://openreview.net/forum?id=Byxpfh0cFm) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 313 | 6.33 | [Double Viterbi: Weight Encoding For High Compression Ratio And Fast On-chip Reconstruction For Deep Neural Network](https://openreview.net/forum?id=HkfYOoCcYX) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 314 | 6.33 | [Rethinking The Value Of Network Pruning](https://openreview.net/forum?id=rJlnB3C5Ym) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 315 | 6.33 | [Aligning Artificial Neural Networks To The Brain Yields Shallow Recurrent Architectures](https://openreview.net/forum?id=BJeY6sR9KX) | 5, 7, 7 | 0.94 | Reject |
| 316 | 6.33 | [Equi-normalization Of Neural Networks](https://openreview.net/forum?id=r1gEqiC9FX) | 7, 7, 5 | 0.94 | Accept (Poster) |
| 317 | 6.33 | [Multi-domain Adversarial Learning](https://openreview.net/forum?id=Sklv5iRqYX) | 5, 8, 6 | 1.25 | Accept (Poster) |
| 318 | 6.33 | [Information Theoretic Lower Bounds On Negative Log Likelihood](https://openreview.net/forum?id=rkemqsC9Fm) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 319 | 6.33 | [Dialogwae: Multimodal Response Generation With Conditional Wasserstein Auto-encoder](https://openreview.net/forum?id=BkgBvsC9FQ) | 7, 7, 5 | 0.94 | Accept (Poster) |
| 320 | 6.33 | [Monge-amp\`ere Flow For Generative Modeling](https://openreview.net/forum?id=rkeUrjCcYQ) | 7, 6, 6 | 0.47 | Reject |
| 321 | 6.33 | [Nlprolog: Reasoning With Weak Unification For Natural Language Question Answering](https://openreview.net/forum?id=ByfXe2C5tm) | 7, 5, 7 | 0.94 | Reject |
| 322 | 6.33 | [Attentive Neural Processes](https://openreview.net/forum?id=SkE6PjC9KX) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 323 | 6.33 | [Scalable Unbalanced Optimal Transport Using Generative Adversarial Networks](https://openreview.net/forum?id=HyexAiA5Fm) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 324 | 6.33 | [Structured Neural Summarization](https://openreview.net/forum?id=H1ersoRqtm) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 325 | 6.33 | [Laplacian Networks: Bounding Indicator Function Smoothness For Neural Networks Robustness](https://openreview.net/forum?id=H1e8wsCqYX) | 9, 5, 5 | 1.89 | Reject |
| 326 | 6.33 | [Accumulation Bit-width Scaling For Ultra-low Precision Training Of Deep Networks](https://openreview.net/forum?id=BklMjsRqY7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 327 | 6.33 | [Direct Optimization Through For Discrete Variational Auto-encoder](https://openreview.net/forum?id=S1ey2sRcYQ) | 7, 7, 5 | 0.94 | Reject |
| 328 | 6.33 | [Fluctuation-dissipation Relations For Stochastic Gradient Descent](https://openreview.net/forum?id=SkNksoRctQ) | 8, 5, 6 | 1.25 | Accept (Poster) |
| 329 | 6.33 | [Rnns Implicitly Implement Tensor-product Representations](https://openreview.net/forum?id=BJx0sjC5FX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 330 | 6.33 | [From Hard To Soft: Understanding Deep Network Nonlinearities Via Vector Quantization And Statistical Inference](https://openreview.net/forum?id=Syxt2jC5FX) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 331 | 6.33 | [Von Mises-fisher Loss For Training Sequence To Sequence Models With Continuous Outputs](https://openreview.net/forum?id=rJlDnoA5Y7) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 332 | 6.33 | [Proxylessnas: Direct Neural Architecture Search On Target Task And Hardware](https://openreview.net/forum?id=HylVB3AqYm) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 333 | 6.33 | [Discriminator Rejection Sampling](https://openreview.net/forum?id=S1GkToR5tm) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 334 | 6.33 | [Visceral Machines: Risk-aversion In Reinforcement Learning With Intrinsic Physiological Rewards](https://openreview.net/forum?id=SyNvti09KQ) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 335 | 6.33 | [Fixup Initialization: Residual Learning Without Normalization](https://openreview.net/forum?id=H1gsz30cKX) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 336 | 6.33 | [Algorithmic Framework For Model-based Deep Reinforcement Learning With Theoretical Guarantees](https://openreview.net/forum?id=BJe1E2R5KX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 337 | 6.33 | [Understanding Composition Of Word Embeddings Via Tensor Decomposition](https://openreview.net/forum?id=H1eqjiCctX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 338 | 6.33 | [Learning To Simulate](https://openreview.net/forum?id=HJgkx2Aqt7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 339 | 6.33 | [Temporal Gaussian Mixture Layer For Videos](https://openreview.net/forum?id=Hyfg5o0qtm) | 6, 6, 7 | 0.47 | Reject |
| 340 | 6.33 | [Dher: Hindsight Experience Replay For Dynamic Goals](https://openreview.net/forum?id=Byf5-30qFX) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 341 | 6.33 | [L2-nonexpansive Neural Networks](https://openreview.net/forum?id=ByxGSsR9FQ) | 8, 6, 5 | 1.25 | Accept (Poster) |
| 342 | 6.33 | [Generating Liquid Simulations With Deformation-aware Neural Networks](https://openreview.net/forum?id=HyeGBj09Fm) | 7, 7, 5 | 0.94 | Accept (Poster) |
| 343 | 6.33 | [Camou: Learning Physical Vehicle Camouflages To Adversarially Attack Detectors In The Wild](https://openreview.net/forum?id=SJgEl3A5tm) | 4, 8, 7 | 1.70 | Accept (Poster) |
| 344 | 6.33 | [Timbretron: A Wavenet(cyclegan(cqt(audio))) Pipeline For Musical Timbre Transfer](https://openreview.net/forum?id=S1lvm305YQ) | 4, 7, 8 | 1.70 | Accept (Poster) |
| 345 | 6.33 | [Synthetic Datasets For Neural Program Synthesis](https://openreview.net/forum?id=ryeOSnAqYm) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 346 | 6.33 | [Delta: Deep Learning Transfer Using Feature Map With Attention For Convolutional Networks](https://openreview.net/forum?id=rkgbwsAcYm) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 347 | 6.33 | [Neural Speed Reading With Structural-jump-lstm](https://openreview.net/forum?id=B1xf9jAqFQ) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 348 | 6.33 | [Policy Generalization In Capacity-limited Reinforcement Learning](https://openreview.net/forum?id=ByxAOoR5K7) | 7, 7, 5 | 0.94 | Reject |
| 349 | 6.33 | [Large Scale Graph Learning From Smooth Signals](https://openreview.net/forum?id=ryGkSo0qYm) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 350 | 6.33 | [Post Selection Inference With Incomplete Maximum Mean Discrepancy Estimator](https://openreview.net/forum?id=BkG5SjR5YQ) | 6, 5, 8 | 1.25 | Accept (Poster) |
| 351 | 6.33 | [Stable Recurrent Models](https://openreview.net/forum?id=Hygxb2CqKm) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 352 | 6.33 | [On The Relation Between The Sharpest Directions Of Dnn Loss And The Sgd Step Length](https://openreview.net/forum?id=SkgEaj05t7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 353 | 6.33 | [Learning To Represent Edits](https://openreview.net/forum?id=BJl6AjC5F7) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 354 | 6.33 | [On Self Modulation For Generative Adversarial Networks](https://openreview.net/forum?id=Hkl5aoR5tm) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 355 | 6.33 | [Sgd Converges To Global Minimum In Deep Learning Via Star-convex Path](https://openreview.net/forum?id=BylIciRcYQ) | 6, 5, 8 | 1.25 | Accept (Poster) |
| 356 | 6.33 | [Neural Graph Evolution: Towards Efficient Automatic Robot Design](https://openreview.net/forum?id=BkgWHnR5tm) | 5, 8, 6 | 1.25 | Accept (Poster) |
| 357 | 6.33 | [The Relativistic Discriminator: A Key Element Missing From Standard Gan](https://openreview.net/forum?id=S1erHoR5t7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 358 | 6.33 | [Augmented Cyclic Adversarial Learning For Low Resource Domain Adaptation](https://openreview.net/forum?id=B1G9doA9F7) | 8, 6, 5 | 1.25 | Accept (Poster) |
| 359 | 6.33 | [Seq2slate: Re-ranking And Slate Optimization With Rnns](https://openreview.net/forum?id=HkgHk3RctX) | 6, 6, 7 | 0.47 | Reject |
| 360 | 6.33 | [A Novel Variational Family For Hidden Non-linear Markov Models](https://openreview.net/forum?id=SJMO2iCct7) | 5, 8, 6 | 1.25 | Reject |
| 361 | 6.33 | [Hierarchical Visuomotor Control Of Humanoids](https://openreview.net/forum?id=BJfYvo09Y7) | 5, 8, 6 | 1.25 | Accept (Poster) |
| 362 | 6.33 | [Single Shot Neural Architecture Search Via Direct Sparse Optimization](https://openreview.net/forum?id=ryxjH3R5KQ) | 6, 6, 7 | 0.47 | Reject |
| 363 | 6.33 | [Beyond Greedy Ranking: Slate Optimization Via List-cvae](https://openreview.net/forum?id=r1xX42R5Fm) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 364 | 6.33 | [Local Critic Training Of Deep Neural Networks](https://openreview.net/forum?id=B1x-LjAcKX) | 6, 6, 7 | 0.47 | Reject |
| 365 | 6.33 | [On The Sensitivity Of Adversarial Robustness To Input Data Distributions](https://openreview.net/forum?id=S1xNEhR9KX) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 366 | 6.33 | [A Rotation And A Translation Suffice: Fooling Cnns With Simple Transformations](https://openreview.net/forum?id=BJfvknCqFQ) | 8, 6, 5 | 1.25 | Reject |
| 367 | 6.33 | [Verification Of Non-linear Specifications For Neural Networks](https://openreview.net/forum?id=HyeFAsRctQ) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 368 | 6.33 | [Visual Reasoning By Progressive Module Networks](https://openreview.net/forum?id=B1fpDsAqt7) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 369 | 6.33 | [Hierarchical Interpretations For Neural Network Predictions](https://openreview.net/forum?id=SkEqro0ctQ) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 370 | 6.33 | [Robust Estimation Via Generative Adversarial Networks](https://openreview.net/forum?id=BJgRDjR9tQ) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 371 | 6.33 | [Large-scale Answerer In Questioner's Mind For Visual Dialog Question Generation](https://openreview.net/forum?id=rkgT3jRct7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 372 | 6.33 | [Stochastic Gradient Descent Learns State Equations With Nonlinear Activations](https://openreview.net/forum?id=rkeMHjR9Ym) | 7, 5, 7 | 0.94 | Reject |
| 373 | 6.33 | [Selfless Sequential Learning](https://openreview.net/forum?id=Bkxbrn0cYX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 374 | 6.33 | [Mae: Mutual Posterior-divergence Regularization For Variational Autoencoders](https://openreview.net/forum?id=Hke4l2AcKQ) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 375 | 6.33 | [Information Asymmetry In Kl-regularized Rl](https://openreview.net/forum?id=S1lqMn05Ym) | 7, 5, 7 | 0.94 | Accept (Poster) |
| 376 | 6.33 | [Poincare Glove: Hyperbolic Word Embeddings](https://openreview.net/forum?id=Ske5r3AqK7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 377 | 6.33 | [From Language To Goals: Inverse Reinforcement Learning For Vision-based Instruction Following](https://openreview.net/forum?id=r1lq1hRqYQ) | 5, 5, 9 | 1.89 | Accept (Poster) |
| 378 | 6.33 | [Dynamically Unfolding Recurrent Restorer: A Moving Endpoint Control Method For Image Restoration](https://openreview.net/forum?id=SJfZKiC5FX) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 379 | 6.33 | [Soft Q-learning With Mutual-information Regularization](https://openreview.net/forum?id=HyEtjoCqFX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 380 | 6.33 | [M^3rl: Mind-aware Multi-agent Management Reinforcement Learning](https://openreview.net/forum?id=BkzeUiRcY7) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 381 | 6.33 | [Invariance And Inverse Stability Under Relu](https://openreview.net/forum?id=SyxYEoA5FX) | 6, 6, 7 | 0.47 | Reject |
| 382 | 6.33 | [Diversity And Depth In Per-example Routing Models](https://openreview.net/forum?id=BkxWJnC9tX) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 383 | 6.33 | [Revealing Interpretable Object Representations From Human Behavior](https://openreview.net/forum?id=ryxSrhC9KX) | 7, 7, 5 | 0.94 | Accept (Poster) |
| 384 | 6.33 | [Learning Factorized Representations For Open-set Domain Adaptation](https://openreview.net/forum?id=SJe3HiC5KX) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 385 | 6.33 | [Functional Variational Bayesian Neural Networks](https://openreview.net/forum?id=rkxacs0qY7) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 386 | 6.33 | [Emi: Exploration With Mutual Information Maximizing State And Action Embeddings](https://openreview.net/forum?id=Hylyui09tm) | 5, 7, 7 | 0.94 | Reject |
| 387 | 6.33 | [Modeling The Long Term Future In Model-based Reinforcement Learning](https://openreview.net/forum?id=SkgQBn0cF7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 388 | 6.33 | [Deepobs: A Deep Learning Optimizer Benchmark Suite](https://openreview.net/forum?id=rJg6ssC5Y7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 389 | 6.33 | [Empirical Bounds On Linear Regions Of Deep Rectifier Networks](https://openreview.net/forum?id=B1MAJhR5YX) | 6, 7, 6 | 0.47 | Reject |
| 390 | 6.33 | [Signsgd With Majority Vote Is Communication Efficient And Fault Tolerant](https://openreview.net/forum?id=BJxhijAcY7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 391 | 6.33 | [Babyai: A Platform To Study The Sample Efficiency Of Grounded Language Learning](https://openreview.net/forum?id=rJeXCo0cYX) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 392 | 6.33 | [Excessive Invariance Causes Adversarial Vulnerability](https://openreview.net/forum?id=BkfbpsAcF7) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 393 | 6.33 | [Overcoming The Disentanglement Vs Reconstruction Trade-off Via Jacobian Supervision](https://openreview.net/forum?id=Hkg4W2AcFm) | 7, 7, 5 | 0.94 | Accept (Poster) |
| 394 | 6.33 | [Feature-wise Bias Amplification](https://openreview.net/forum?id=S1ecm2C9K7) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 395 | 6.33 | [Why Do Deep Convolutional Networks Generalize So Poorly To Small Image Transformations?](https://openreview.net/forum?id=HJxYwiC5tm) | 7, 7, 5 | 0.94 | Reject |
| 396 | 6.33 | [Hierarchical Generative Modeling For Controllable Speech Synthesis](https://openreview.net/forum?id=rygkk305YQ) | 8, 6, 5 | 1.25 | Accept (Poster) |
| 397 | 6.33 | [Multi-step Retriever-reader Interaction For Scalable Open-domain Question Answering](https://openreview.net/forum?id=HkfPSh05K7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 398 | 6.33 | [Improved Gradient Estimators For Stochastic Discrete Variables](https://openreview.net/forum?id=S1lKSjRcY7) | 7, 6, 6 | 0.47 | Reject |
| 399 | 6.33 | [Characterizing Audio Adversarial Examples Using Temporal Dependency](https://openreview.net/forum?id=r1g4E3C9t7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 400 | 6.33 | [Data-dependent Coresets For Compressing Neural Networks With Applications To Generalization Bounds](https://openreview.net/forum?id=HJfwJ2A5KX) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 401 | 6.33 | [Meta-learning With Latent Embedding Optimization](https://openreview.net/forum?id=BJgklhAcK7) | 6, 5, 8 | 1.25 | Accept (Poster) |
| 402 | 6.33 | [Probabilistic Planning With Sequential Monte Carlo Methods](https://openreview.net/forum?id=ByetGn0cYX) | 8, 6, 5 | 1.25 | Accept (Poster) |
| 403 | 6.33 | [Learning What You Can Do Before Doing Anything](https://openreview.net/forum?id=SylPMnR9Ym) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 404 | 6.33 | [Model-predictive Policy Learning With Uncertainty Regularization For Driving In Dense Traffic](https://openreview.net/forum?id=HygQBn0cYm) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 405 | 6.33 | [Spreading Vectors For Similarity Search](https://openreview.net/forum?id=SkGuG2R5tm) | 6, 7, 6 | 0.47 | Accept (Poster) |
| 406 | 6.33 | [Learning When To Communicate At Scale In Multiagent Cooperative And Competitive Tasks](https://openreview.net/forum?id=rye7knCqK7) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 407 | 6.33 | [Opportunistic Learning: Budgeted Cost-sensitive Learning From Data Streams](https://openreview.net/forum?id=S1eOHo09KX) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 408 | 6.33 | [The Singular Values Of Convolutional Layers](https://openreview.net/forum?id=rJevYoA9Fm) | 8, 4, 7 | 1.70 | Accept (Poster) |
| 409 | 6.33 | [Exemplar Guided Unsupervised Image-to-image Translation With Semantic Consistency](https://openreview.net/forum?id=S1lTg3RqYQ) | 6, 5, 8 | 1.25 | Accept (Poster) |
| 410 | 6.33 | [Learning-based Frequency Estimation Algorithms](https://openreview.net/forum?id=r1lohoCqY7) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 411 | 6.33 | [Max-mig: An Information Theoretic Approach For Joint Learning From Crowds](https://openreview.net/forum?id=BJg9DoR9t7) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 412 | 6.33 | [Multiple-attribute Text Rewriting](https://openreview.net/forum?id=H1g2NhC5KQ) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 413 | 6.33 | [Harmonizing Maximum Likelihood With Gans For Multimodal Conditional Generation](https://openreview.net/forum?id=HJxyAjRcFX) | 8, 7, 4 | 1.70 | Accept (Poster) |
| 414 | 6.33 | [Variational Autoencoder With Arbitrary Conditioning](https://openreview.net/forum?id=SyxtJh0qYm) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 415 | 6.33 | [A New Dog Learns Old Tricks: Rl Finds Classic Optimization Algorithms](https://openreview.net/forum?id=rkluJ2R9KQ) | 6, 6, 7 | 0.47 | Accept (Poster) |
| 416 | 6.33 | [Generating Multi-agent Trajectories Using Programmatic Weak Supervision](https://openreview.net/forum?id=rkxw-hAcFQ) | 7, 6, 6 | 0.47 | Accept (Poster) |
| 417 | 6.25 | [Maximal Divergence Sequential Autoencoder For Binary Software Vulnerability Detection](https://openreview.net/forum?id=ByloIiCqYQ) | 6, 7, 6, 6 | 0.43 | Accept (Poster) |
| 418 | 6.25 | [Neural Tts Stylization With Adversarial And Collaborative Games](https://openreview.net/forum?id=ByzcS3AcYX) | 6, 6, 6, 7 | 0.43 | Accept (Poster) |
| 419 | 6.25 | [Competitive Experience Replay](https://openreview.net/forum?id=Sklsm20ctX) | 5, 7, 6, 7 | 0.83 | Accept (Poster) |
| 420 | 6.25 | [Bayesian Policy Optimization For Model Uncertainty](https://openreview.net/forum?id=SJGvns0qK7) | 5, 6, 7, 7 | 0.83 | Accept (Poster) |
| 421 | 6.25 | [Sinkhorn Autoencoders](https://openreview.net/forum?id=BygNqoR9tm) | 5, 6, 7, 7 | 0.83 | Reject |
| 422 | 6.25 | [Two-timescale Networks For Nonlinear Value Function Approximation](https://openreview.net/forum?id=rJleN20qK7) | 6, 7, 6, 6 | 0.43 | Accept (Poster) |
| 423 | 6.25 | [Lyapunov-based Safe Policy Optimization](https://openreview.net/forum?id=Syxgbh05tQ) | 6, 6, 8, 5 | 1.09 | Reject |
| 424 | 6.25 | [Towards Consistent Performance On Atari Using Expert Demonstrations](https://openreview.net/forum?id=BkfPnoActQ) | 6, 5, 7, 7 | 0.83 | Reject |
| 425 | 6.00 | [Learning Implicit Generative Models By Teaching Explicit Ones](https://openreview.net/forum?id=Hkg1YiAcK7) | 7, 5, 6 | 0.82 | Reject |
| 426 | 6.00 | [Emerging Disentanglement In Auto-encoder Based Unsupervised Image Content Transfer](https://openreview.net/forum?id=BylE1205Fm) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 427 | 6.00 | [Projective Subspace Networks For Few-shot Learning](https://openreview.net/forum?id=rkzfuiA9F7) | 6, 6, 6 | 0.00 | Reject |
| 428 | 6.00 | [Environment Probing Interaction Policies](https://openreview.net/forum?id=ryl8-3AcFX) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 429 | 6.00 | [Stcn: Stochastic Temporal Convolutional Networks](https://openreview.net/forum?id=HkzSQhCcK7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 430 | 6.00 | [Capsule Graph Neural Network](https://openreview.net/forum?id=Byl8BnRcYm) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 431 | 6.00 | [Top-down Neural Model For Formulae](https://openreview.net/forum?id=Byg5QhR5FQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 432 | 6.00 | [Tarmac: Targeted Multi-agent Communication](https://openreview.net/forum?id=H1e572A5tQ) | 6, 6, 6 | 0.00 | Reject |
| 433 | 6.00 | [Coarse-grain Fine-grain Coattention Network For Multi-evidence Question Answering](https://openreview.net/forum?id=Syl7OsRqY7) | 7, 7, 4 | 1.41 | Accept (Poster) |
| 434 | 6.00 | [Learning Programmatically Structured Representations With Perceptor Gradients](https://openreview.net/forum?id=SJggZnRcFQ) | 7, 6, 5 | 0.82 | Accept (Poster) |
| 435 | 6.00 | [Graph Transformer](https://openreview.net/forum?id=HJei-2RcK7) | 6, 6, 6 | 0.00 | Reject |
| 436 | 6.00 | [Feed-forward Propagation In Probabilistic Neural Networks With Categorical And Max Layers](https://openreview.net/forum?id=SkMuPjRcKQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 437 | 6.00 | [Discriminative Active Learning](https://openreview.net/forum?id=rJl-HsR9KX) | 8, 6, 4 | 1.63 | Reject |
| 438 | 6.00 | [Neural Logic Machines](https://openreview.net/forum?id=B1xY-hRctX) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 439 | 6.00 | [Improving Sequence-to-sequence Learning Via Optimal Transport](https://openreview.net/forum?id=S1xtAjR5tX) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 440 | 6.00 | [Backpropamine: Training Self-modifying Neural Networks With Differentiable Neuromodulated Plasticity](https://openreview.net/forum?id=r1lrAiA5Ym) | 4, 9, 5 | 2.16 | Accept (Poster) |
| 441 | 6.00 | [Learning To Propagate Labels: Transductive Propagation Network For Few-shot Learning](https://openreview.net/forum?id=SyVuRiC5K7) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 442 | 6.00 | [Neural Mmo: A Massively Multiplayer Game Environment For Intelligent Agents](https://openreview.net/forum?id=S1gWz2CcKX) | 6, 5, 7 | 0.82 | Reject |
| 443 | 6.00 | [Learnable Embedding Space For Efficient Neural Architecture Compression](https://openreview.net/forum?id=S1xLN3C9YX) | 5, 7, 6 | 0.82 | Accept (Poster) |
| 444 | 6.00 | [Ib-gan: Disentangled Representation Learning With Information Bottleneck Gan](https://openreview.net/forum?id=ryljV2A5KX) | 7, 7, 4 | 1.41 | Reject |
| 445 | 6.00 | [Interpolation-prediction Networks For Irregularly Sampled Time Series](https://openreview.net/forum?id=r1efr3C9Ym) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 446 | 6.00 | [Learning Models For Visual 3d Localization With Implicit Mapping](https://openreview.net/forum?id=rkxusjRctQ) | 7, 5, 6 | 0.82 | Reject |
| 447 | 6.00 | [Transfer Learning For Related Reinforcement Learning Tasks Via Image-to-image Translation](https://openreview.net/forum?id=rkxjnjA5KQ) | 7, 7, 4 | 1.41 | Reject |
| 448 | 6.00 | [Countering Language Drift Via Grounding](https://openreview.net/forum?id=BkMn9jAcYQ) | 6, 6, 6 | 0.00 | Reject |
| 449 | 6.00 | [H-detach: Modifying The Lstm Gradient Towards Better Optimization](https://openreview.net/forum?id=ryf7ioRqFX) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 450 | 6.00 | [Rigorous Agent Evaluation: An Adversarial Approach To Uncover Catastrophic Failures](https://openreview.net/forum?id=B1xhQhRcK7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 451 | 6.00 | [Multi-class Classification Without Multi-class Labels](https://openreview.net/forum?id=SJzR2iRcK7) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 452 | 6.00 | [Dadam: A Consensus-based Distributed Adaptive Gradient Method For Online Optimization](https://openreview.net/forum?id=SJeUAj05tQ) | 8, 4, 6 | 1.63 | Reject |
| 453 | 6.00 | [A Biologically Inspired Visual Working Memory For Deep Networks](https://openreview.net/forum?id=B1fbosCcYm) | 4, 5, 9 | 2.16 | Reject |
| 454 | 6.00 | [Multi-agent Dual Learning](https://openreview.net/forum?id=HyGhN2A5tm) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 455 | 6.00 | [Dirichlet Variational Autoencoder](https://openreview.net/forum?id=rkgsvoA9K7) | 6, 5, 7 | 0.82 | Reject |
| 456 | 6.00 | [Graph Convolutional Network With Sequential Attention For Goal-oriented Dialogue Systems](https://openreview.net/forum?id=Skz-3j05tm) | 5, 6, 7 | 0.82 | Reject |
| 457 | 6.00 | [Unsupervised Neural Multi-document Abstractive Summarization Of Reviews](https://openreview.net/forum?id=rylhToC5YQ) | 5, 4, 9 | 2.16 | Reject |
| 458 | 6.00 | [Semi-supervised Learning With Multi-domain Sentiment Word Embeddings](https://openreview.net/forum?id=SkenUj0qYm) | 6, 6, 6 | 0.00 | Reject |
| 459 | 6.00 | [Guiding Policies With Language Via Meta-learning](https://openreview.net/forum?id=HkgSEnA5KQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 460 | 6.00 | [Improving Sentence Representations With Multi-view Frameworks](https://openreview.net/forum?id=S1xzyhR9Y7) | 7, 6, 5 | 0.82 | Reject |
| 461 | 6.00 | [Estimating Information Flow In Dnns](https://openreview.net/forum?id=HkxOoiAcYX) | 7, 7, 4 | 1.41 | Reject |
| 462 | 6.00 | [Identifying Bias In Ai Using Simulation](https://openreview.net/forum?id=BJf_YjCqYX) | 5, 7, 6 | 0.82 | Reject |
| 463 | 6.00 | [Graph Wavelet Neural Network](https://openreview.net/forum?id=H1ewdiR5tQ) | 4, 7, 7 | 1.41 | Accept (Poster) |
| 464 | 6.00 | [Recurrent Kalman Networks: Factorized Inference In High-dimensional Deep Feature Spaces](https://openreview.net/forum?id=rkx1m2C5YQ) | 6, 6, 6 | 0.00 | Reject |
| 465 | 6.00 | [Learning Procedural Abstractions And Evaluating Discrete Latent Temporal Structure](https://openreview.net/forum?id=ByleB2CcKm) | 6, 5, 7 | 0.82 | Accept (Poster) |
| 466 | 6.00 | [Adversarial Information Factorization](https://openreview.net/forum?id=BJfRpoA9YX) | 6, 6, 6 | 0.00 | Reject |
| 467 | 6.00 | [Bnn+: Improved Binary Network Training](https://openreview.net/forum?id=SJfHg2A5tQ) | 8, 6, 4 | 1.63 | Reject |
| 468 | 6.00 | [An Empirical Study Of Binary Neural Networks' Optimisation](https://openreview.net/forum?id=rJfUCoR5KX) | 8, 6, 4 | 1.63 | Accept (Poster) |
| 469 | 6.00 | [Graph U-net](https://openreview.net/forum?id=HJePRoAct7) | 7, 4, 7 | 1.41 | Reject |
| 470 | 6.00 | [Distribution-interpolation Trade Off In Generative Models](https://openreview.net/forum?id=SyMhLo0qKQ) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 471 | 6.00 | [A Closer Look At Few-shot Classification](https://openreview.net/forum?id=HkxLXnAcFQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 472 | 6.00 | [Decoupled Weight Decay Regularization](https://openreview.net/forum?id=Bkg6RiCqY7) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 473 | 6.00 | [An Adaptive Homeostatic Algorithm For The Unsupervised Learning Of Visual Features](https://openreview.net/forum?id=SyMras0cFQ) | 5, 4, 9 | 2.16 | Reject |
| 474 | 6.00 | [Efficient Two-step Adversarial Defense For Deep Neural Networks](https://openreview.net/forum?id=BklpOo09tQ) | 5, 6, 7 | 0.82 | Reject |
| 475 | 6.00 | [Cramer-wold Autoencoder](https://openreview.net/forum?id=rkgwuiA9F7) | 5, 7, 6 | 0.82 | Reject |
| 476 | 6.00 | [Precision Highway For Ultra Low-precision Quantization](https://openreview.net/forum?id=SJx94o0qYX) | 6, 7, 5 | 0.82 | Reject |
| 477 | 6.00 | [Graphseq2seq: Graph-sequence-to-sequence For Neural Machine Translation](https://openreview.net/forum?id=B1fA3oActQ) | 6, 6, 6 | 0.00 | Reject |
| 478 | 6.00 | [Learning Multi-level Hierarchies With Hindsight](https://openreview.net/forum?id=ryzECoAcY7) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 479 | 6.00 | [The Variational Deficiency Bottleneck](https://openreview.net/forum?id=rygjN3C9F7) | 5, 7, 6 | 0.82 | Reject |
| 480 | 6.00 | [Universal Successor Features Approximators](https://openreview.net/forum?id=S1VWjiRcKX) | 7, 5, 6 | 0.82 | Accept (Poster) |
| 481 | 6.00 | [Deep Lagrangian Networks: Using Physics As Model Prior For Deep Learning](https://openreview.net/forum?id=BklHpjCqKm) | 7, 4, 7 | 1.41 | Accept (Poster) |
| 482 | 6.00 | [Neural Program Repair By Jointly Learning To Localize And Repair](https://openreview.net/forum?id=ByloJ20qtm) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 483 | 6.00 | [Measuring And Regularizing Networks In Function Space](https://openreview.net/forum?id=SkMwpiR9Y7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 484 | 6.00 | [Anytime Minibatch: Exploiting Stragglers In Online Distributed Optimization](https://openreview.net/forum?id=rkzDIiA5YQ) | 4, 7, 7 | 1.41 | Accept (Poster) |
| 485 | 6.00 | [Stochastic Gradient Push For Distributed Deep Learning](https://openreview.net/forum?id=HkgSk2A9Y7) | 6, 6, 6 | 0.00 | Reject |
| 486 | 6.00 | [A Direct Approach To Robust Deep Learning Using Adversarial Networks](https://openreview.net/forum?id=S1lIMn05F7) | 5, 7, 6 | 0.82 | Accept (Poster) |
| 487 | 6.00 | [Gamepad: A Learning Environment For Theorem Proving](https://openreview.net/forum?id=r1xwKoR9Y7) | 4, 7, 7 | 1.41 | Accept (Poster) |
| 488 | 6.00 | [Don’t Judge A Book By Its Cover - On The Dynamics Of Recurrent Neural Networks](https://openreview.net/forum?id=H1z_Z2A5tX) | 5, 7, 6 | 0.82 | Reject |
| 489 | 6.00 | [Uncovering Surprising Behaviors In Reinforcement Learning Via Worst-case Analysis](https://openreview.net/forum?id=SkgZNnR5tX) | 5, 7, 6 | 0.82 | Reject |
| 490 | 6.00 | [Language Model Pre-training For Hierarchical Document Representations](https://openreview.net/forum?id=rygnfn0qF7) | 6, 6, 6 | 0.00 | Reject |
| 491 | 6.00 | [Manifold Mixup: Learning Better Representations By Interpolating Hidden States](https://openreview.net/forum?id=rJlRKjActQ) | 6, 4, 8 | 1.63 | Reject |
| 492 | 6.00 | [Dimension-free Bounds For Low-precision Training](https://openreview.net/forum?id=ryeX-nC9YQ) | 6, 6, 6 | 0.00 | Reject |
| 493 | 6.00 | [Kernel Rnn Learning (kernl)](https://openreview.net/forum?id=ryGfnoC5KQ) | 5, 7, 6 | 0.82 | Accept (Poster) |
| 494 | 6.00 | [Datnet: Dual Adversarial Transfer For Low-resource Named Entity Recognition](https://openreview.net/forum?id=HkGzUjR5tQ) | 6, 6, 6 | 0.00 | Reject |
| 495 | 6.00 | [Optimistic Mirror Descent In Saddle-point Problems: Going The Extra (gradient) Mile](https://openreview.net/forum?id=Bkg8jjC9KQ) | 7, 6, 5 | 0.82 | Accept (Poster) |
| 496 | 6.00 | [Deep Convolutional Networks As Shallow Gaussian Processes](https://openreview.net/forum?id=Bklfsi0cKm) | 5, 8, 5 | 1.41 | Accept (Poster) |
| 497 | 6.00 | [On The Computational Inefficiency Of Large Batch Sizes For Stochastic Gradient Descent](https://openreview.net/forum?id=S1en0sRqKm) | 5, 8, 5 | 1.41 | Reject |
| 498 | 6.00 | [Wasserstein Barycenter Model Ensembling](https://openreview.net/forum?id=H1g4k309F7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 499 | 6.00 | [Computing Committor Functions For The Study Of Rare Events Using Deep Learning With Importance Sampling](https://openreview.net/forum?id=H1lPUiRcYQ) | 6, 6, 5, 7 | 0.71 | Reject |
| 500 | 6.00 | [Scaling Shared Model Governance Via Model Splitting](https://openreview.net/forum?id=H1xEtoRqtQ) | 4, 5, 9 | 2.16 | Reject |
| 501 | 6.00 | [Generative Feature Matching Networks](https://openreview.net/forum?id=Syfz6sC9tQ) | 6, 6, 6, 6 | 0.00 | Reject |
| 502 | 6.00 | [Mixed Precision Quantization Of Convnets Via Differentiable Neural Architecture Search](https://openreview.net/forum?id=BJGVX3CqYm) | 5, 6, 7, 6 | 0.71 | Reject |
| 503 | 6.00 | [Alignment Based Mathching Networks For One-shot Classification And Open-set Recognition](https://openreview.net/forum?id=Skl6k209Ym) | 7, 6, 7, 4 | 1.22 | Reject |
| 504 | 6.00 | [Unsupervised Adversarial Image Reconstruction](https://openreview.net/forum?id=BJg4Z3RqF7) | 6, 8, 4 | 1.63 | Accept (Poster) |
| 505 | 6.00 | [Adversarial Reprogramming Of Neural Networks](https://openreview.net/forum?id=Syx_Ss05tm) | 4, 6, 8 | 1.63 | Accept (Poster) |
| 506 | 6.00 | [Reinforcement Learning With Perturbed Rewards](https://openreview.net/forum?id=BkMWx309FX) | 6, 6, 6 | 0.00 | Reject |
| 507 | 6.00 | [Variational Bayesian Phylogenetic Inference](https://openreview.net/forum?id=SJVmjjR9FX) | 6, 5, 7 | 0.82 | Accept (Poster) |
| 508 | 6.00 | [Efficient Multi-objective Neural Architecture Search Via Lamarckian Evolution](https://openreview.net/forum?id=ByME42AqK7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 509 | 6.00 | [On-policy Trust Region Policy Optimisation With Replay Buffers](https://openreview.net/forum?id=B1MB5oRqtQ) | 7, 6, 5 | 0.82 | Reject |
| 510 | 6.00 | [A Max-affine Spline Perspective Of Recurrent Neural Networks](https://openreview.net/forum?id=BJej72AqF7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 511 | 6.00 | [Explicit Information Placement On Latent Variables Using Auxiliary Generative Modelling Task](https://openreview.net/forum?id=H1l-SjA5t7) | 6, 7, 5 | 0.82 | Reject |
| 512 | 6.00 | [Code2seq: Generating Sequences From Structured Representations Of Code](https://openreview.net/forum?id=H1gKYo09tX) | 6, 7, 5 | 0.82 | Accept (Poster) |
| 513 | 6.00 | [Overcoming Catastrophic Forgetting For Continual Learning Via Model Adaptation](https://openreview.net/forum?id=ryGvcoA5YX) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 514 | 6.00 | [Dl2: Training And Querying Neural Networks With Logic](https://openreview.net/forum?id=H1faSn0qY7) | 7, 5, 6 | 0.82 | Reject |
| 515 | 6.00 | [Cost-sensitive Robustness Against Adversarial Examples](https://openreview.net/forum?id=BygANhA9tQ) | 5, 5, 8 | 1.41 | Accept (Poster) |
| 516 | 6.00 | [Robust Conditional Generative Adversarial Networks](https://openreview.net/forum?id=Byg0DsCqYQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 517 | 6.00 | [Unsupervised Discovery Of Parts, Structure, And Dynamics](https://openreview.net/forum?id=rJe10iC5K7) | 6, 6, 7, 5 | 0.71 | Accept (Poster) |
| 518 | 6.00 | [Learning To Learn With Conditional Class Dependencies](https://openreview.net/forum?id=BJfOXnActQ) | 6, 8, 4 | 1.63 | Accept (Poster) |
| 519 | 6.00 | [Aggregated Momentum: Stability Through Passive Damping](https://openreview.net/forum?id=Syxt5oC5YQ) | 7, 6, 5 | 0.82 | Accept (Poster) |
| 520 | 6.00 | [Discovery Of Natural Language Concepts In Individual Units Of Cnns](https://openreview.net/forum?id=S1EERs09YQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 521 | 6.00 | [Generative Predecessor Models For Sample-efficient Imitation Learning](https://openreview.net/forum?id=SkeVsiAcYm) | 6, 5, 7 | 0.82 | Accept (Poster) |
| 522 | 6.00 | [Image Deformation Meta-network For One-shot Learning](https://openreview.net/forum?id=Sylw7nCqFQ) | 5, 7, 6 | 0.82 | N/A |
| 523 | 6.00 | [Adversarial Vulnerability Of Neural Networks Increases With Input Dimension](https://openreview.net/forum?id=H1MzKs05F7) | 6, 4, 9, 5 | 1.87 | Reject |
| 524 | 6.00 | [How To Train Your Maml](https://openreview.net/forum?id=HJGven05Y7) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 525 | 6.00 | [Learning Kolmogorov Models For Binary Random Variables](https://openreview.net/forum?id=BJfguoAcFm) | 5, 5, 8 | 1.41 | Reject |
| 526 | 6.00 | [Unsupervised Hyper-alignment For Multilingual Word Embeddings](https://openreview.net/forum?id=HJe62s09tX) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 527 | 6.00 | [Adversarial Imitation Via Variational Inverse Reinforcement Learning](https://openreview.net/forum?id=HJlmHoR5tQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 528 | 6.00 | [Improving The Generalization Of Adversarial Training With Domain Adaptation](https://openreview.net/forum?id=SyfIfnC5Ym) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 529 | 6.00 | [Formal Limitations On The Measurement Of Mutual Information](https://openreview.net/forum?id=BkedwoC5t7) | 8, 6, 4 | 1.63 | Reject |
| 530 | 6.00 | [Online Hyperparameter Adaptation Via Amortized Proximal Optimization](https://openreview.net/forum?id=rJl6M2C5Y7) | 6, 5, 7 | 0.82 | Reject |
| 531 | 6.00 | [Machine Translation With Weakly Paired Bilingual Documents](https://openreview.net/forum?id=ryza73R9tQ) | 6, 5, 7 | 0.82 | Reject |
| 532 | 6.00 | [Greedy Attack And Gumbel Attack: Generating Adversarial Examples For Discrete Data](https://openreview.net/forum?id=ByghKiC5YX) | 3, 6, 8, 7 | 1.87 | Reject |
| 533 | 6.00 | [Variance Networks: When Expectation Does Not Meet Your Expectations](https://openreview.net/forum?id=B1GAUs0cKQ) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 534 | 6.00 | [Shallow Learning For Deep Networks](https://openreview.net/forum?id=r1Gsk3R9Fm) | 6, 5, 7 | 0.82 | Reject |
| 535 | 6.00 | [Success At Any Cost: Value Constrained Model-free Continuous Control](https://openreview.net/forum?id=rJlJ-2CqtX) | 7, 5, 6 | 0.82 | Reject |
| 536 | 6.00 | [Language Modeling Teaches You More Syntax Than Translation Does: Lessons Learned Through Auxiliary Task Analysis](https://openreview.net/forum?id=ryeNPi0qKX) | 6, 5, 7 | 0.82 | Reject |
| 537 | 6.00 | [Hierarchical Reinforcement Learning Via Advantage-weighted Information Maximization](https://openreview.net/forum?id=Hyl_vjC5KQ) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 538 | 6.00 | [Mean-field Analysis Of Batch Normalization](https://openreview.net/forum?id=B1eSg3C9Ym) | 7, 6, 5 | 0.82 | Reject |
| 539 | 6.00 | [Learning From Positive And Unlabeled Data With A Selection Bias](https://openreview.net/forum?id=rJzLciCqKm) | 7, 6, 5 | 0.82 | Accept (Poster) |
| 540 | 6.00 | [A Kernel Random Matrix-based Approach For Sparse Pca](https://openreview.net/forum?id=rkgBHoCqYX) | 5, 7, 6 | 0.82 | Accept (Poster) |
| 541 | 6.00 | [Per-tensor Fixed-point Quantization Of The Back-propagation Algorithm](https://openreview.net/forum?id=rkxaNjA9Ym) | 7, 3, 8 | 2.16 | Accept (Poster) |
| 542 | 6.00 | [Fortified Networks: Improving The Robustness Of Deep Networks By Modeling The Manifold Of Hidden Representations](https://openreview.net/forum?id=SkgVRiC9Km) | 4, 5, 9, 6 | 1.87 | Reject |
| 543 | 6.00 | [A Comprehensive, Application-oriented Study Of Catastrophic Forgetting In Dnns](https://openreview.net/forum?id=BkloRs0qK7) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 544 | 6.00 | [Interactive Agent Modeling By Learning To Probe](https://openreview.net/forum?id=SJl98sR5tX) | 6, 6, 6, 6 | 0.00 | Reject |
| 545 | 6.00 | [Learning Heuristics For Automated Reasoning Through Reinforcement Learning](https://openreview.net/forum?id=HkeyZhC9F7) | 5, 6, 7 | 0.82 | Reject |
| 546 | 6.00 | [Stochastic Prediction Of Multi-agent Interactions From Partial Observations](https://openreview.net/forum?id=r1xdH3CcKX) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 547 | 6.00 | [Combinatorial Attacks On Binarized Neural Networks](https://openreview.net/forum?id=S1lTEh09FQ) | 5, 6, 7 | 0.82 | Accept (Poster) |
| 548 | 6.00 | [Invase: Instance-wise Variable Selection Using Neural Networks](https://openreview.net/forum?id=BJg_roAcK7) | 6, 6, 6 | 0.00 | Accept (Poster) |
| 549 | 5.75 | [On The Margin Theory Of Feedforward Neural Networks](https://openreview.net/forum?id=HJGtFoC5Fm) | 5, 5, 6, 7 | 0.83 | Reject |
| 550 | 5.75 | [Neural Networks For Modeling Source Code Edits](https://openreview.net/forum?id=Sklr9i09KQ) | 5, 6, 6, 6 | 0.43 | Reject |
| 551 | 5.75 | [Efficiently Testing Local Optimality And Escaping Saddles For Relu Networks](https://openreview.net/forum?id=HylTXn0qYX) | 3, 6, 6, 8 | 1.79 | Accept (Poster) |
| 552 | 5.75 | [Automata Guided Skill Composition](https://openreview.net/forum?id=HkfwpiA9KX) | 7, 5, 6, 5 | 0.83 | Reject |
| 553 | 5.67 | [A More Globally Accurate Dimensionality Reduction Method Using Triplets](https://openreview.net/forum?id=BkgVx3A9Km) | 6, 5, 6 | 0.47 | Reject |
| 554 | 5.67 | [Eddi: Efficient Dynamic Discovery Of High-value Information With Partial Vae](https://openreview.net/forum?id=HJl0jiRqtX) | 6, 5, 6 | 0.47 | Reject |
| 555 | 5.67 | [Deep Imitative Models For Flexible Inference, Planning, And Control](https://openreview.net/forum?id=SyehMhC9Y7) | 5, 6, 6 | 0.47 | Reject |
| 556 | 5.67 | [Set Transformer](https://openreview.net/forum?id=Hkgnii09Ym) | 5, 6, 6 | 0.47 | Reject |
| 557 | 5.67 | [Transfer Learning Via Unsupervised Task Discovery For Visual Question Answering](https://openreview.net/forum?id=rkelDoCqFX) | 4, 5, 8 | 1.70 | N/A |
| 558 | 5.67 | [Information Regularized Neural Networks](https://openreview.net/forum?id=BJgvg30ctX) | 6, 6, 5 | 0.47 | Reject |
| 559 | 5.67 | [An Information-theoretic Metric Of Transferability For Task Transfer Learning](https://openreview.net/forum?id=BkxAUjRqY7) | 5, 6, 6 | 0.47 | Reject |
| 560 | 5.67 | [Detecting Out-of-distribution Samples Using Low-order Deep Features Statistics](https://openreview.net/forum?id=rkgpCoRctm) | 5, 5, 7 | 0.94 | Reject |
| 561 | 5.67 | [Laplacian Smoothing Gradient Descent](https://openreview.net/forum?id=By41BjA9YQ) | 6, 6, 5 | 0.47 | Reject |
| 562 | 5.67 | [Cross-task Knowledge Transfer For Visually-grounded Navigation](https://openreview.net/forum?id=ByGq7hRqKX) | 7, 5, 5 | 0.94 | Reject |
| 563 | 5.67 | [Super-resolution Via Conditional Implicit Maximum Likelihood Estimation](https://openreview.net/forum?id=HklyMhCqYQ) | 5, 6, 6 | 0.47 | Reject |
| 564 | 5.67 | [Mode Normalization](https://openreview.net/forum?id=HyN-M2Rctm) | 5, 6, 6 | 0.47 | Accept (Poster) |
| 565 | 5.67 | [Learning Cross-lingual Sentence Representations Via A Multi-task Dual-encoder Model](https://openreview.net/forum?id=BJgGhiR5KX) | 7, 4, 6 | 1.25 | Reject |
| 566 | 5.67 | [Ppo-cma: Proximal Policy Optimization With Covariance Matrix Adaptation](https://openreview.net/forum?id=B1VWtsA5tQ) | 4, 9, 4 | 2.36 | Reject |
| 567 | 5.67 | [A Resizable Mini-batch Gradient Descent Based On A Multi-armed Bandit](https://openreview.net/forum?id=H1lGHsA9KX) | 6, 7, 4 | 1.25 | Reject |
| 568 | 5.67 | [Understanding Gans Via Generalization Analysis For Disconnected Support](https://openreview.net/forum?id=B1x5KiCcFX) | 6, 5, 6 | 0.47 | Reject |
| 569 | 5.67 | [Open-ended Content-style Recombination Via Leakage Filtering](https://openreview.net/forum?id=B1eXbn05t7) | 7, 5, 5 | 0.94 | Reject |
| 570 | 5.67 | [Adversarial Audio Synthesis](https://openreview.net/forum?id=ByMVTsR5KQ) | 5, 6, 6 | 0.47 | Accept (Poster) |
| 571 | 5.67 | [A Variational Dirichlet Framework For Out-of-distribution Detection](https://openreview.net/forum?id=ByxmXnA9FQ) | 6, 5, 6 | 0.47 | Reject |
| 572 | 5.67 | [Stochastic Adversarial Video Prediction](https://openreview.net/forum?id=HyEl3o05Fm) | 6, 6, 5 | 0.47 | Reject |
| 573 | 5.67 | [Transfer Learning For Sequences Via Learning To Collocate](https://openreview.net/forum?id=ByldlhAqYQ) | 6, 5, 6 | 0.47 | Accept (Poster) |
| 574 | 5.67 | [Talk The Walk: Navigating Grids In New York City Through Grounded Dialogue](https://openreview.net/forum?id=HyxhusA9Fm) | 6, 7, 4 | 1.25 | Reject |
| 575 | 5.67 | [Random Mesh Projectors For Inverse Problems](https://openreview.net/forum?id=HyGcghRct7) | 6, 7, 4 | 1.25 | Accept (Poster) |
| 576 | 5.67 | [Infobot: Transfer And Exploration Via The Information Bottleneck](https://openreview.net/forum?id=rJg8yhAqKm) | 7, 7, 3 | 1.89 | Accept (Poster) |
| 577 | 5.67 | [Trace-back Along Capsules And Its Application On Semantic Segmentation](https://openreview.net/forum?id=H1xpe2C5Km) | 6, 6, 5 | 0.47 | Reject |
| 578 | 5.67 | [Adversarially Learned Mixture Model](https://openreview.net/forum?id=SJLhxnRqFQ) | 6, 5, 6 | 0.47 | Reject |
| 579 | 5.67 | [Unsupervised Document Representation Using Partition Word-vectors Averaging](https://openreview.net/forum?id=HyNbtiR9YX) | 6, 7, 4 | 1.25 | Reject |
| 580 | 5.67 | [Deep Recurrent Gaussian Process With Variational Sparse Spectrum Approximation](https://openreview.net/forum?id=BkgosiRcKm) | 5, 5, 7 | 0.94 | Reject |
| 581 | 5.67 | [A Frank-wolfe Framework For Efficient And Effective Adversarial Attacks](https://openreview.net/forum?id=Hyewf3AqYX) | 5, 5, 7 | 0.94 | Reject |
| 582 | 5.67 | [Adaptive Gradient Methods With Dynamic Bound Of Learning Rate](https://openreview.net/forum?id=Bkg3g2R9FX) | 7, 4, 6 | 1.25 | Accept (Poster) |
| 583 | 5.67 | [Convolutional Crfs For Semantic Segmentation](https://openreview.net/forum?id=H1xEwsR9FX) | 7, 4, 6 | 1.25 | Reject |
| 584 | 5.67 | [Ppd: Permutation Phase Defense Against Adversarial Examples In Deep Learning](https://openreview.net/forum?id=HkElFj0qYQ) | 6, 7, 4 | 1.25 | Reject |
| 585 | 5.67 | [Generalizable Adversarial Training Via Spectral Normalization](https://openreview.net/forum?id=Hyx4knR9Ym) | 6, 5, 6 | 0.47 | Accept (Poster) |
| 586 | 5.67 | [Cbow Is Not All You Need: Combining Cbow With The Compositional Matrix Space Model](https://openreview.net/forum?id=H1MgjoR9tQ) | 6, 5, 6 | 0.47 | Accept (Poster) |
| 587 | 5.67 | [Soseleto: A Unified Approach To Transfer Learning And Training With Noisy Labels](https://openreview.net/forum?id=Hye-LiR5Y7) | 7, 5, 5 | 0.94 | Reject |
| 588 | 5.67 | [Revisiting Reweighted Wake-sleep](https://openreview.net/forum?id=BJzuKiC9KX) | 5, 6, 6 | 0.47 | Reject |
| 589 | 5.67 | [Lipschitz Regularized Deep Neural Networks Generalize](https://openreview.net/forum?id=r1l3NiCqY7) | 4, 6, 7 | 1.25 | Reject |
| 590 | 5.67 | [Necst: Neural Joint Source-channel Coding](https://openreview.net/forum?id=BJgbzhC5Ym) | 6, 4, 7 | 1.25 | Reject |
| 591 | 5.67 | [Multi-objective Training Of Generative Adversarial Networks With Multiple Discriminators](https://openreview.net/forum?id=S1MB-3RcF7) | 6, 5, 6 | 0.47 | Reject |
| 592 | 5.67 | [Small Steps And Giant Leaps: Minimal Newton Solvers For Deep Learning](https://openreview.net/forum?id=Sygx4305KQ) | 7, 7, 3 | 1.89 | Reject |
| 593 | 5.67 | [Actrce: Augmenting Experience Via Teacher’s Advice](https://openreview.