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#### 2017-11

- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning [[arXiv](https://arxiv.org/abs/1711.05225)] [[article](https://stanfordmlgroup.github.io/projects/chexnet/)]
- Online Deep Learning: Learning Deep Neural Networks on the Fly [[arXiv](https://arxiv.org/abs/1711.03705)]
- Learning Explanatory Rules from Noisy Data [[arXiv](https://arxiv.org/abs/1711.04574)]
- Weighted Transformer Network for Machine Translation [[arXiv](https://arxiv.org/abs/1711.02132)] [[article](https://einstein.ai/research/weighted-transformer)]
- Non-Autoregressive Neural Machine Translation [[arXiv](https://arxiv.org/abs/1711.02281)] [[article](https://einstein.ai/research/non-autoregressive-neural-machine-translation)]
- Block-Sparse Recurrent Neural Networks [[arXiv](https://arxiv.org/abs/1711.02782)]
- A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning [[arXiv](https://arxiv.org/abs/1711.00832)]
- Neural Discrete Representation Learning [[arXiv](https://arxiv.org/abs/1711.00937)] [[article](https://avdnoord.github.io/homepage/vqvae/)]
- Don't Decay the Learning Rate, Increase the Batch Size [[arXiv](https://arxiv.org/abs/1711.00489)]
- Hierarchical Representations for Efficient Architecture Search [[arXiv](https://arxiv.org/abs/1711.00436)]

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- Generalization in Deep Learning [[arXiv](https://arxiv.org/abs/1710.05468)]
- Swish: a Self-Gated Activation Function [[arXiv](https://arxiv.org/abs/1710.05941)]
- Emergent Translation in Multi-Agent Communication [[arXiv](https://arxiv.org/abs/1710.06922)]
- SLING: A framework for frame semantic parsing [[arXiv](https://arxiv.org/abs/1710.07032)] [[article](https://research.googleblog.com/2017/11/sling-natural-language-frame-semantic.html)] [[code](https://github.com/google/sling)]
- Meta-Learning for Wrestling [[arXiv](https://arxiv.org/abs/1710.03641)] [[article](https://blog.openai.com/meta-learning-for-wrestling/)] [[code](https://github.com/openai/robosumo)]
- Mixed Precision Training [[arXiv](https://arxiv.org/abs/1710.03740)] [[article](http://research.baidu.com/mixed-precision-training/)] [[article2](https://devblogs.nvidia.com/parallelforall/mixed-precision-training-deep-neural-networks/)] [[code/docs](http://docs.nvidia.com/deeplearning/sdk/mixed-precision-training/index.html)]
- Generative Adversarial Networks: An Overview [[arXiv](https://arxiv.org/abs/1710.07035)]
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- Dilated Residual Networks [[arXiv](https://arxiv.org/abs/1705.09914)] [[code](https://github.com/fyu/drn)]
- Bayesian GAN [[arXiv](https://arxiv.org/abs/1705.09558)] [[code](https://github.com/andrewgordonwilson/bayesgan/)]
- Gradient Descent Can Take Exponential Time to Escape Saddle Points [[arXiv](https://arxiv.org/abs/1705.10412)] [[article](http://bair.berkeley.edu/blog/2017/08/31/saddle-efficiency/)]
- Thinking Fast and Slow with Deep Learning and Tree Search [[arXiv]()]
- ParlAI: A Dialog Research Software Platform [[arXiv](https://arxiv.org/abs/1705.06476)] [[code](https://github.com/facebookresearch/ParlAI)] [[article](https://code.facebook.com/posts/266433647155520/parlai-a-new-software-platform-for-dialog-research/)]
- Semantically Decomposing the Latent Spaces of Generative Adversarial Networks [[arXiv](https://arxiv.org/abs/1705.07904)] [[article](https://aws.amazon.com/blogs/ai/combining-deep-learning-networks-gan-and-siamese-to-generate-high-quality-life-like-images/)]
- Look, Listen and Learn [[arXiv](https://arxiv.org/abs/1705.08168)]
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