https://github.com/amanpriyanshu/literate-train
Papers which I read
https://github.com/amanpriyanshu/literate-train
Last synced: 3 months ago
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Papers which I read
- Host: GitHub
- URL: https://github.com/amanpriyanshu/literate-train
- Owner: AmanPriyanshu
- License: mit
- Created: 2020-09-05T17:22:53.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-12-04T12:28:40.000Z (almost 5 years ago)
- Last Synced: 2025-02-08T17:23:47.494Z (8 months ago)
- Size: 9.61 MB
- Stars: 0
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Literate-Train
Papers which I read.
Well, I have a guilty pleasure of reading papers but never making any records of them. Just reading them and soon after forgetting them, recalling but a meager amount of the once expansive paper. So, I have decided to record them, at least that way I can learn responsibly.
## Index:
1. [Discovering Symbolic Models from Deep Learning with Inductive Biases](#discovering-symbolic-models-from-deep-learning-with-inductive-biases)
2. [Communication-Efficient Learning of Deep Networks from Decentralized Data](Communication-Efficient-Learning-of-Deep-Networks-from-Decentralized-Data)
3. [Auto-Keras: An Efficient Neural Architecture Search System](#auto-keras-an-efficient-neural-architecture-search-system)
4. [Adaptive DDoS Detector Design Using Fast Entropy Computation Method](#adaptive-ddos-detector-design-using-fast-entropy-computation-method)
### Discovering Symbolic Models from Deep Learning with Inductive Biases
```console
@ARTICLE{2020arXiv200611287C,
author = {{Cranmer}, Miles and {Sanchez-Gonzalez}, Alvaro and {Battaglia}, Peter and
{Xu}, Rui and {Cranmer}, Kyle and {Spergel}, David and {Ho}, Shirley},
title = "{Discovering Symbolic Models from Deep Learning with Inductive Biases}",
journal = {arXiv e-prints},
keywords = {Computer Science - Machine Learning, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Computational Physics, Statistics - Machine Learning},
year = 2020,
month = jun,
eid = {arXiv:2006.11287},
pages = {arXiv:2006.11287},
archivePrefix = {arXiv},
eprint = {2006.11287},
primaryClass = {cs.LG},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020arXiv200611287C},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```
[Check my documentation](https://github.com/AmanPriyanshu/literate-train/blob/master/discovering_symbolic_models_from_deep_learning_with_inductive_biases.md)
### Auto-Keras: An Efficient Neural Architecture Search System
```console
@ARTICLE{2018arXiv180610282J,
author = {{Jin}, Haifeng and {Song}, Qingquan and {Hu}, Xia},
title = "{Auto-Keras: An Efficient Neural Architecture Search System}",
journal = {arXiv e-prints},
keywords = {Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning},
year = 2018,
month = jun,
eid = {arXiv:1806.10282},
pages = {arXiv:1806.10282},
archivePrefix = {arXiv},
eprint = {1806.10282},
primaryClass = {cs.LG},
adsurl = {https://ui.adsabs.harvard.edu/abs/2018arXiv180610282J},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```
[Check my documentation](https://github.com/AmanPriyanshu/literate-train/blob/master/auto_keras_an_efficient_neural_architecture_search_system.md)
### Communication-Efficient-Learning-of-Deep-Networks-from-Decentralized-Data
```console
@ARTICLE{2016arXiv160205629B,
author = {{Brendan McMahan}, H. and {Moore}, Eider and {Ramage}, Daniel and {Hampson}, Seth and {Ag{\"u}era y Arcas}, Blaise},
title = "{Communication-Efficient Learning of Deep Networks from Decentralized Data}",
journal = {arXiv e-prints},
keywords = {Computer Science - Machine Learning},
year = 2016,
month = feb,
eid = {arXiv:1602.05629},
pages = {arXiv:1602.05629},
archivePrefix = {arXiv},
eprint = {1602.05629},
primaryClass = {cs.LG},
adsurl = {https://ui.adsabs.harvard.edu/abs/2016arXiv160205629B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```
[Check my documentation](https://github.com/AmanPriyanshu/literate-train/blob/master/Communication_Efficient_Learning_of_Deep_Networks_from_Decentralized_Data.md)
### Adaptive DDoS Detector Design Using Fast Entropy Computation Method
```console
@INPROCEEDINGS{5976144,
author={G. {No} and I. {Ra}},
booktitle={2011 Fifth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing},
title={Adaptive DDoS Detector Design Using Fast Entropy Computation Method},
year={2011},
volume={},
number={},
pages={86-93},}
```
[Check my documentation](https://github.com/AmanPriyanshu/literate-train/blob/master/adaptive_ddos_detector_design_using_fast_entropy_computation_method.md)