今日のアブストラクトまとめ


今日のアブストラクトのまとめ記事です.
1 日 1 回 (努力目標) 論文の Abstract を DeepL 翻訳の力を借りて読んでいきます.


# まとめ

 0 日目 : [Google 翻訳] [Abstract 以外の翻訳あり]
[The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks](https://qiita.com/tomato_/items/81f8b26b4c7ee1979a6f)

## 1 週目

 1 日目 : [Google 翻訳]
[Deep Gamblers: Learning to Abstain with Portfolio Theory](https://qiita.com/tomato_/items/7f9025a3e69d0f2003a7)

 2 日目 : [Google 翻訳]
[Label-Free Supervision of Neural Networks with Physics and Domain Knowledge](https://qiita.com/tomato_/items/734574db224826b585ef)

 3 日目 : [Google 翻訳]
[Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift](https://qiita.com/tomato_/items/1425788198a70aea3da9)

 4 日目 : [Google 翻訳]
[Deep Residual Learning for Image Recognition](https://qiita.com/tomato_/items/8891d9d49375706a22d4)

 5 日目 : [Google 翻訳]
[Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning](https://qiita.com/tomato_/items/5b53c8049deeb5f73310) 

 6 日目 : [Google 翻訳]
[Sequence to Sequence Learning with Neural Networks](https://qiita.com/tomato_/items/ec658f22ad701bd72ea6)

 7 日目 : [Google 翻訳]
[Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification](https://qiita.com/tomato_/items/b64af69c3510a5800d26)

## 2 週目

 8 日目 : [Google 翻訳]
[Representation Learning: A Review and New Perspectives](https://qiita.com/tomato_/items/39c2f4c9bfa0297e15e3)

 9 日目 : [Google 翻訳]
[Selective Classification for Deep Neural Networks](https://qiita.com/tomato_/items/dcee3f76edd4c9477217) 

10 日目 : [DeepL 翻訳]
[Adam: A Method for Stochastic Optimization](https://qiita.com/tomato_/items/09fac1bf3c6c6a07bd33)

11 日目 : [DeepL 翻訳]
[SelectiveNet: A Deep Neural Network with an Integrated Reject Option](https://qiita.com/tomato_/items/118f05e55eccec3d5b9f)

12 日目 : [DeepL 翻訳]
[Proving the Lottery Ticket Hypothesis: Pruning is All You Need](https://qiita.com/tomato_/items/e29c81680d7a1cb338e3)

13 日目 : [DeepL 翻訳]
[Neural Tangent Kernel: Convergence and Generalization in Neural Networks](https://qiita.com/tomato_/items/74f1e18e76834a75a0c5)

14 日目 : [DeepL 翻訳]
[Attention Is All You Need](https://qiita.com/tomato_/items/9570087742a78c061185)

## 3 週目

15 日目 : [DeepL 翻訳]
[The Early Phase of Neural Network Training](https://qiita.com/tomato_/items/7a3c0b5a7dc606ecd76f)

16 日目 : [DeepL 翻訳][#]
[Creating High Resolution Images with a Latent Adversarial Generator](https://qiita.com/tomato_/items/04b1f85a35c844c3fa44)

17 日目 : [DeepL 翻訳]
[NLNL: Negative Learning for Noisy Labels](https://qiita.com/tomato_/items/40dbf41be7819059428a)

18 日目 : [DeepL 翻訳]
[The large learning rate phase of deep learning: the catapult mechanism](https://qiita.com/tomato_/items/16cb0f7a185aa27ef657)

19 日目 : [DeepL 翻訳]
[The Impact of Neural Network Overparameterization on Gradient Confusion and Stochastic Gradient Descent](https://qiita.com/tomato_/items/ffcb4b7bfd999cef7f69)

20 日目 : [DeepL 翻訳]
[Well-Read Students Learn Better: On the Importance of Pre-training Compact Models](https://qiita.com/tomato_/items/ffcb4b7bfd999cef7f69)

21 日目 : [DeepL 翻訳]
[Spectral Normalization for Generative Adversarial Networks]
(https://qiita.com/tomato_/items/f90830107515a0fc14d9)

##4 週目

22 日目 : [DeepL 翻訳]
[Squeeze-and-Excitation Networks]
(https://qiita.com/tomato_/items/d6e466526691d91f34a0)

23 日目 : [DeepL 翻訳]
[Deep Double Descent: Where Bigger Models and More Data Hurt][*]
(https://qiita.com/tomato_/items/1d6496a20b460b0853f2)

24 日目 : [DeepL 翻訳]
[MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications]
(https://qiita.com/tomato_/items/29059898397138b01bdb)

25 日目 : [DeepL 翻訳]
[Visualizing and Understanding Convolutional Networks]
(https://qiita.com/tomato_/items/943fea45d4b4762defc5)

26 日目 : [DeepL 翻訳]
[U-Net: Convolutional Networks for Biomedical Image Segmentation]
(https://qiita.com/tomato_/items/4a10f6d6e028dc15d0c6)

27 日目 : [DeepL 翻訳]
[Image-to-Image Translation with Conditional Adversarial Networks]
(https://qiita.com/tomato_/items/b166a105f1bc360adddb)

28 日目 : [DeepL 翻訳]
[Designing Network Design Spaces]
(https://qiita.com/tomato_/items/f51df30130d6455d655a)

##5 週目

29 日目 : [DeepL 翻訳]
[Memory Networks]
(https://qiita.com/tomato_/items/e4287ae54fa257da178f)

30 日目 : [DeepL 翻訳]
[Neural Turing Machines]
(https://qiita.com/tomato_/items/227f124503fdeeda4d55)

31 日目 : [DeepL 翻訳]
[End-To-End Memory Networks]
(https://qiita.com/tomato_/items/586439e807511b1cfdc4)

32 日目 : [DeepL 翻訳]
[A Metric Learning Reality Check](https://qiita.com/tomato_/items/a296e122004efe9e076b)

33 日目 : [DeepL 翻訳]
[Distilling the Knowledge in a Neural Network](https://qiita.com/tomato_/items/5446bfa35d09c89925fb)

34 日目 : [DeepL 翻訳]
[Explaining and Harnessing Adversarial Examples](https://qiita.com/tomato_/items/cd3a7c001f1ef9266608)

35 日目 : [DeepL 翻訳]
[BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://qiita.com/tomato_/items/5701d80350928a036d2a)

##6 週目

36 日目 : [DeepL 翻訳]
[Understanding Batch Normalization](https://qiita.com/tomato_/items/b86339efb885549d2b85)

37 日目 : [DeepL 翻訳]
[Dataset Distillation](https://qiita.com/tomato_/items/4617a65e97686f45bf1f)