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https://github.com/shunk031/awesome-ai-best-papers

A curated list of famous CV/NLP/ML/AI best papers, inspired by Best Paper Awards in Computer Science (since 1996).
https://github.com/shunk031/awesome-ai-best-papers

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A curated list of famous CV/NLP/ML/AI best papers, inspired by Best Paper Awards in Computer Science (since 1996).

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# Awesome AI Best Papers



A curated list of famous CV/NLP/ML/AI best papers, inspired by [Best Paper Awards in Computer Science (since 1996)](http://jeffhuang.com/best_paper_awards.html).



## Contributing



Please feel free to [pull requests](https://github.com/shunk031/awesome-ai-best-papers/pulls) to add papers.



## Contents



- [ACL - The Association for Computational Linguistics](#acl)

- [AAAI - Association for the Advancement of Artificial Intelligence](#aaai)

- [CVPR - IEEE International Conference on Computer Vision and Pattern Recognition](#cvpr)

- [EMNLP - Empirical Methods in Natural Language Processing](#emnlp)

- [ICCV - International Conference on Computer Vision](#iccv)

- [ICLR - International Conference on Learning Representations](#iclr)

- [ICML - International Conference on Machine Learning](#icml)

- [NAACL - The North American Chapter of the Association for Computational Linguistics](#naacl)

- [NIPS - Neural Information Processing Systems](#nips)



## ACL

### 2018

- **Finding syntax in human encephalography with beam search.** John Hale, Chris Dyer, Adhiguna Kuncoro and Jonathan Brennan. (**Best Long Paper**) [[PDF]](http://aclweb.org/anthology/P18-1254) 

- **Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information.** Sudha Rao and Hal Daumé III. (**Best Long Paper**) [[PDF]](http://aclweb.org/anthology/P18-1255)

- **Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers.** Andre Cianflone,\* Yulan Feng,\* Jad Kabbara* and Jackie Chi Kit Cheung. (* equal contribution) (**Best Long Paper**) [[PDF]](https://www.cs.mcgill.ca/~jkabba/acl2018paper.pdf)

- **Know What You Don’t Know: Unanswerable Questions for SQuAD.** Pranav Rajpurkar, Robin Jia and Percy Liang (**Best Short Paper**) [[PDF]](http://stanford.edu/~robinjia/pdf/acl2018-squad.pdf)

- **‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions.** Olivia Winn and Smaranda Muresan (**Best Short Paper**) [[PDF]](http://aclweb.org/anthology/P18-2125)

- **Coarse-to-Fine Decoding for Neural Semantic Parsing.** Li Dong and Mirella Lapata. **Long Paper Honorable Mention** [[PDF]](http://homepages.inf.ed.ac.uk/s1478528/acl18-coarse2fine.pdf)

- **NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing.** Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao and Lawrence Carin. **Long paper Honorable Mention** [[PDF]](http://people.ee.duke.edu/~lcarin/acl2018_hashing.pdf)

- **Backpropagating through Structured Argmax using a SPIGOT.** Hao Peng, Sam Thomson and Noah A. Smith. **Long Paper Honorable Mention** [[PDF]](https://homes.cs.washington.edu/~hapeng/paper/peng2018backprop.pdf)

- **Hierarchical Neural Story Generation.** Angela Fan, Mike Lewis and Yann Dauphin. **Long Paper Honorable Mention** [[PDF]](http://aclweb.org/anthology/P18-1082)

- **Semantically Equivalent Adversarial Rules for Debugging NLP models.** Marco Tulio Ribeiro, Sameer Singh and Carlos Guestrin. **Long Paper Honorable Mention** [[PDF]](https://homes.cs.washington.edu/~marcotcr/acl18.pdf)

- **Large-Scale QA-SRL Parsing.** Nicholas FitzGerald, Julian Michael, Luheng He and Luke Zettlemoyer. **Long Paper Honorable Mention** [[PDF]](http://aclweb.org/anthology/P18-1191)

- **Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling.** Luheng He, Kenton Lee, Omer Levy and Luke Zettlemoyer. **Short Paper Honorable Mention** [[PDF]](http://aclweb.org/anthology/P18-2058)

- **Do Neural Network Cross-Modal Mappings Really Bridge Modalities?** Guillem Collell and Marie-Francine Moens. **Short Paper Honorable Mention** [[PDF]](http://www.aclweb.org/anthology/P18-2074)



### 2017

- **Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses.** Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio and Joelle Pineau (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1103)

- **A Transition-Based Directed Acyclic Graph Parser for UCCA.** Daniel Hershcovich, Omri Abend and Ari Rappoport (**Outstanding Long Paper**) [[PDF]](http://aclweb.org/anthology/P17-1104)

- **Abstract Syntax Networks for Code Generation and Semantic Parsing.** Maxim Rabinovich, Mitchell Stern and Dan Klein (**Outstanding Long Paper**) [[PDF]](http://aclweb.org/anthology/P17-1105)

- **Visualizing and Understanding Neural Machine Translation.** Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun (**Outstainding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1106)

- **Detecting annotation noise in automatically labelled data.** Ines Rehbein and Josef Ruppenhofer (**Outstanding Long paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1107)

- **Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme.** Suncong Zheng, Feng Wang and Hongyun Bao (**Outstanding Long Paper**) [[PDF]](http://aclweb.org/anthology/P17-1113)

- **A Local Detection Approach for Named Entity Recognition and Mention Detection.** Mingbin Xu, Hui Jiang and Sedtawut Watcharawittayakul (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1114)

- **Vancouver Welcomes You! Minimalist Location Metonymy Resolution.** Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham and Nigel Collier (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1115)

- **Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction.** Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi and Tomoko Ohkuma (**Outstanding Long Paper**) [[PDF]](http://aclweb.org/anthology/P17-1116)

- **Multi-Task Video Captioning with Visual and Textual Entailment.** Ramakanth Pasunuru and Mohit Bansal (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1117)

- **Abstractive Document Summarization with a Graph-Based Attentional Neural Model.** Jiwei Tan and Xiaojun Wan (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1108)

- **Probabilistic Typology: Deep Generative Models of Vowel Inventories.** Ryan Cotterell and Jason Eisner (**Best Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1109)

- **Adversarial Multi-Criteria Learning for Chinese Word Segmentation.** Xinchi Chen, Zhan Shi, Xipeng Qiu and Xuanjing Huang (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1110)

- **Neural Joint Model for Transition-based Chinese Syntactic Analysis.** Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1111)

- **Robust Incremental Neural Semantic Graph Parsing.** Jan Buys and Phil Blunsom (**Outstanding Long Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-1112.pdf)

- **The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective.** Bogdan Ludusan, Reiko Mazuka, Mathieu Bernard, Alejandrina Cristia and Emmanuel Dupoux (**Best Short Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-2028)

- **A Two-stage Parsing Method for Text-level Discourse Analysis.** Yizhong Wang and Sujian Li (**Outstanding Short Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-2029)

- **Error-repair Dependency Parsing for Ungrammatical Texts.** Keisuke Sakaguchi, Matt Post and Benjamin Van Durme (**Outstanding Short Paper**) [[PDF]](http://aclweb.org/anthology/P17-2030)

- **Attention Strategies for Multi-Source Sequence-to-Sequence Learning.** Jindřich Libovický and Jindřich Helcl (**Outstanding Short Paper**) [[PDF]](http://www.aclweb.org/anthology/P17-2031)

- **Understanding and Detecting Diverse Supporting Arguments on Controversial Issues.** Xinyu Hua and Lu Wang (**Outstanding Short Paper**) [[PDF]](http://aclweb.org/anthology/P17-2032)

- **A Neural Model for User Geolocation and Lexical Dialectology.** Afshin Rahimi, Trevor Cohn and Timothy Baldwin (**Outstanding Short Paper**) [[PDF]](http://aclweb.org/anthology/P17-2033)

- **A Corpus of Compositional Language for Visual Reasoning.** Alane Suhr, Mike Lewis, James Yeh and Yoav Artzi (**Outstanding Short Paper**) [[PDF]](http://aclweb.org/anthology/P17-2034)



### 2016

- **A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task.** Danqi Chen, Jason Bolton and Christopher D. Manning (**Outstanding Long Paper**) [[PDF]]()

- **Learning Language Games through Interaction.** Sida I. Wang, Percy Liang and Christopher D. Manning (**Outstanding Long Paper**) [[PDF]]() 

- **Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression.** E.Dario Gutierrez, Roger Levy and Benjamin Bergen (**Best Paper**) [[PDF]]() 

- **Improving Hypernymy Detection with an Integrated Pathbased and Distributional Method.** Vered Shwartz, Yoav Goldberg and Ido Dagan: (**Outstanding Long Paper**) [[PDF]]() 

- **Multimodal Pivots for Image Caption Translation.** Julian Hitschler, Shigehiko Schamoni and Stefan Riezler (**Outstanding Long Paper**) [[PDF]]() 

- **Harnessing Deep Neural Networks with Logic Rules.** Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy and Eric Xing (**Outstanding Long Paper**) [[PDF]]() 

- **Case and Cause in Icelandic: Reconstructing Causal Networks of Cascaded Language Changes.** Fermin Moscoso del Prado Martin and Christian Brendel (**Outstanding Long Paper**) [[PDF]]()

- **On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems.** Pei-Hao Su, Milica Gasic, Nikola Mrkšić, Lina M. Rojas Barahona, Stefan Ultes, David Vandyke, TsungHsien Wen and Steve Young (**Best Student Paper**) [[PDF]]() 

- **Globally Normalized Transition-Based Neural Networks** Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins (**Outstanding Long Paper**) [[PDF]]()

- **Transition-based dependency parsing with topological fields.** Daniël de Kok and Erhard Hinrichs (**Outstanding Short Paper**) [[PDF]]() 

- **Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction.** Kim Anh Nguyen, Sabine Schulte im Walde and Ngoc Thang Vu (**Outstanding Short Paper**) [[PDF]]()



## AAAI

### 2018

- **Memory-Augmented Monte Carlo Tree Search.** Chenjun Xiao, Jincheng Mei, and Martin Müller (**Outstanding Paper Award**) [[PDF]]()

- **Generalized Adjustment under Confounding and Selection Biases.** Juan D. Correa, Jin Tian, Elias Bareinboim (**Paper Award Honorable Mention**) [[PDF]]()

- **Counterfactual Multi-Agent Policy Gradients.** Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson (**Outstanding Student Paper Award**) [[PDF]]()

- **Adapting a Kidney Exchange Algorithm to Align with Human Values.** Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer (**Student Paper Award Honorable Mention**) [[PDF]]()



### 2017

- **Label-Free Supervision of Neural Networks with Physics and Domain Knowledge.** Russell Stewart and Stefano Ermon (**Outstanding Paper Award**) [[PDF]]()

- **The Option-Critic Architecture.** Pierre-Luc Bacon, Jean Harb, and Doina Precup (**Outstanding Student Paper Award**) [[PDF]]()



### 2016

- **Bidirectional Search That Is Guaranteed to Meet in the Middle.** Robert C. Holte, Ariel Felner, Guni Sharon, and Nathan R. Sturtevant (**Outstanding Paper Award**) [[PDF]]()

- **Toward a Taxonomy and Computational Models of Abnormalities in Images.** Babak Saleh, Ahmed Elgammal, Jacob Feldman, and Ali Farhadi (**Outstanding Student Paper Award**) [[PDF]]()



## CVPR

### 2017

- **Densely Connected Convolutional Networks.** Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger (**Best Paper**) [[PDF]]()

- **Learning from Simulated and Unsupervised Images through Adversarial Training.** Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb (**Best Paper**) [[PDF]]()

- **Annotating Object Instances with a Polygon-RNN.** Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler (**Best Paper Honorable Mention**) [[PDF]]()

- **YOLO9000: Better, Faster, Stronger.** Joseph Redmon, Ali Farhadi (**Best Paper Honorable Mention**) [[PDF]]()

- **Computational Imaging on the Electric Grid.** Mark Sheinin, Yoav Y. Schechner, Kiriakos N. Kutulakos (**Best Student Paper**) [[PDF]]()



### 2016

- **Deep Residual Learning for Image Recognition** Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun (**Best Paper**) [[PDF]]()

- **Sublabel-Accurate Relaxation of Nonconvex Energies.** Thomas Möllenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers (**Best Paper**) [[PDF]]()

- **Structural-RNN: Deep Learning on Spatio-Temporal Graphs.** Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena (**Best Student Paper**) [[PDF]]()



## EMNLP

### 2017

- **Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.** Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez and Kai-Wei Chang. (**Best Long Paper**) [[PDF]]()

- **Depression and Self-Harm Risk Assessment in Online Forums.** Andrew Yates, Arman Cohan and Nazli Goharian. (**Best Long Paper**) [[PDF]]() 

- **Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog.** Satwik Kottur, José Moura, Stefan Lee and Dhruv Batra. (**Best Short Paper**) [[PDF]]()

- **Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps.** Tobias Falke and Iryna Gurevych. (**Best Short Paper**) [[PDF]]()



### 2016

- **Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning.** Karthik Narasimhan, Adam Yala and Regina Barzilay (**Best Long Paper**) [[PDF]]()

- **Global Neural CCG Parsing with Optimality Guarantees.** Kenton Lee, Mike Lewis and Luke Zettlemoyer (**Best Long Paper**) [[PDF]]()

- **Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles.** James Cross and Liang Huang (**Best Paper Honorable Mention**) [[PDF]]()

- **Sequence-to-Sequence Learning as Beam-Search Optimization.** Sam Wiseman and Alexander M. Rush (**Best Paper Honorable Mention**) [[PDF]]()

- **Learning a Lexicon and Translation Model from Phoneme Lattices.** Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do and Satoshi Nakamura (**Best Short Paper**) [[PDF]]()



## ICCV

### 2017

- **Mask R-CNN.** Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick (**Marr Prize Paper**) [[PDF]]()

- **First Person Activity Forecasting with Online Inverse Reinforcement Learning.** Nicholas Rhinehart, Kris M. Kitani (**Marr Prize Paper Honorable Mention**) [[PDF]]() 

- **Open Set Domain Adaptation.** Pau Panareda Busto, Juergen Gall (**Marr Prize Paper Honorable Mention**) [[PDF]]()

- **Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence.** Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li (**Marr Prize Paper Honorable Mention**) [[PDF]]()

- **Focal Loss for Dense Object Detection.** Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár (**Best Student Paper**) [[PDF]]()



## ICLR

### 2018

- **On the convergence of Adam and Beyond.** Sashank J. Reddi, Satyen Kale, Sanjiv Kumar (**Best Paper**) [[PDF]]()

- **Spherical CNNs.** Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling (**Best Paper**) [[PDF]]()

- **Continuous adaptation via meta-learning in nonstationary and competitive environments.** Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel (**Best Paper**) [[PDF]]()



### 2017

- **Understanding deep learning requires rethinking generalization.** Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals (**Best Paper**) [[PDF]]()

- **Making neural programming architectures via recursion.** Jonathon Cai, Richard Shin, Dawn Song (**Best Paper**) [[PDF]]()

- **Semi-supervised knowledge transfer for deep learning from private training data.** Nicolas Papernot, Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, Kunal Talwar (**Best Paper**) [[PDF]]()



### 2016

- **Neural Programmer-Interpreters.** Scott Reed, Nando de Freitas (**Best Paper**) [[PDF]]()

- **Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.** Song Han, Huizi Mao, Bill Dally (**Best Paper**) [[PDF]]()



## ICML

### 2018

- **Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples.** Anish Athalye, Nicholas Carlini, David Wagner (**Best Paper**) [[PDF]]()

- **Delayed Impact of Fair Machine Learning.** Lydia Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt (**Best Paper**) [[PDF]]()

- **The Mechanics of n-Player Differentiable Games.** David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel (**Best Paper Runner Up**) [[PDF]]()

- **Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices.** Zengfeng Huang (**Best Paper Runner Up**) [[PDF]]()

- **Fairness Without Demographics in Repeated Loss Minimization.** Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang (**Best Paper Runner Up**) [[PDF]]()



### 2017

- **Understanding Black-box Predictions via Influence Functions.** Pang Wei Koh, Percy Liang (**Best Paper**) [[PDF]]()

- **Lost Relatives of the Gumbel Trick.** Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller (**Best Paper Honorable Mention**) [[PDF]]()

- **Modular Multitask Reinforcement Learning with Policy Sketches.** Jacob Andreas, Dan Klein, Sergey Levine (**Best Paper Honorable Mention**) [[PDF]]()

- **A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions.** Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Suresh (**Best Paper Honorable Mention**) [[PDF]]()



### 2016

- **Dueling Network Architectures for Deep Reinforcement Learning.** Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas (**Best Paper**) [[PDF]]()

- **Pixel Recurrent Neural Networks.** Aaron Van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu (**Best Paper**) [[PDF]]()

- **Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling.** Christopher De Sa, Chris Re, Kunle Olukotun (**Best Paper**) [[PDF]]()



## NAACL

### 2018

- **Deep Contextualized Word Representations.** Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee and Luke Zettlemoyer (**Outstanding Paper**) [[PDF]]()

- **Learning to Map Context-Dependent Sentences to Executable Formal Queries.** Alane Suhr, Srinivasan Iyer and Yoav Artz (**Outstanding Paper**) [[PDF]]()

- **Neural Text Generation in Stories using Entity Representations as Context.** Elizabeth Clark, Yangfeng Ji and Noah A. Smith (**Outstanding Paper**) [[PDF]]()

- **Recurrent Neural Networks as Weighted Language Recognizers.** Yining Chen, Sorcha Gilroy, Andreas Maletti, Jonathan May and Kevin Knight (**Outstanding Paper**) [[PDF]]()



## NIPS

### 2017

- **Safe and Nested Subgame Solving for Imperfect-Information Games.** Noam Brown, Tuomas Sandholm. (**Best Paper**) [[PDF]]() 

- **Variance-based Regularization with Convex Objectives.** Hongseok Namkoong, John Duchi. (**Best Paper**) [[PDF]]() 

- **A Linear-Time Kernel Goodness-of-Fit Test.** Wittawat Jitkrittum, Wenkai Xu, Zoltan Szabo, Kenji Fukumizu, Arthur Gretton. (**Best Paper**) [[PDF]]() 



### 2016

- **Value Iteration Networks.** Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel (**Best Paper**) [[PDF]]() 

- **Matrix Completion has No Spurious Local Minimum.** Rong Ge, Jason Lee, Tengyu Ma (**Best Student Paper**) [[PDF]]() 



## Reference



- [ACL 2018: Best Papers](https://acl2018.org/2018/06/10/best-papers/)

- [Outstanding and best papers and the decision process – ACL 2017](https://acl2017.wordpress.com/2017/08/03/outstanding-and-best-papers-and-the-decision-process/)

- [AAAI Outstanding Paper Award](https://aaai.org/Awards/paper.php)

- [CVPR Best Paper Award • IEEE Computer Society](https://www.computer.org/web/tcpami/cvpr-best-paper-award)

- [EMNLP 2017 Awards](https://www.facebook.com/emnlp2017/posts/congratulations-to-the-emnlp2017-best-paper-award-winnersbest-long-papers-jieyu-/1935449656693734/)

- [EMNLP 2016 Awards](https://www.aclweb.org/mirror/emnlp2016/best-papers.html)

- [ICCV Best Paper Award (Marr Prize) • IEEE Computer Society](https://www.computer.org/web/tcpami/iccv-best-paper-award)

- [ICML 2018 Awards](https://icml.cc/Conferences/2018/Awards)

- [ICML 2017 Awards](https://icml.cc/Conferences/2017/Awards)

- [ICML 2016 Awards](https://icml.cc/2016/index.html%3Fp=2009.html)

- [Outstanding Papers – NAACL HLT 2018 Chairs Blog](https://naacl2018.wordpress.com/2018/04/11/outstanding-papers/)

- [NIPS 2017 Awards](https://nips.cc/Conferences/2017/Awards)

- [NIPS 2016 Awards](https://nips.cc/Conferences/2016/Awards)



## License



[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)



To the extent possible under law, [Shunsuke KITADA](https://github.com/shunk031) has waived all copyright and related or neighboring rights to this work.