Merge pull request #34 from ReDeiPirati/master

Update

README.md

@@ -1,8 +1,15 @@
 #### 2017-11
 
+- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [[arXiv](https://arxiv.org/abs/1711.09020)] [[code](https://github.com/yunjey/StarGAN/)]
+- Population Based Training of Neural Networks [[arXiv](https://arxiv.org/abs/1711.09846)] [[article](https://deepmind.com/blog/population-based-training-neural-networks/)]
+- Parallel WaveNet: Fast High-Fidelity Speech Synthesis [[DeepMind documents](https://deepmind.com/documents/131/Distilling_WaveNet.pdf)] [[article](https://deepmind.com/blog/high-fidelity-speech-synthesis-wavenet/)]
 - 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/)]
+- Non-local Neural Networks [[arXiv](https://arxiv.org/abs/1711.07971)]
+- Deep Image Prior [[paper](https://sites.skoltech.ru/app/data/uploads/sites/25/2017/11/deep_image_prior.pdf)] [[article](https://dmitryulyanov.github.io/deep_image_prior)] [[code](https://github.com/DmitryUlyanov/deep-image-prior)]
 - 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)]
+- Improving Palliative Care with Deep Learning [[arXiv](https://arxiv.org/abs/1711.06402)] [[article](https://stanfordmlgroup.github.io/projects/improving-palliative-care/)]
+- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [[arXiv](https://arxiv.org/abs/1711.06396)]
 - 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)]
@@ -72,6 +79,7 @@ Weakly-Supervised Classification and Localization of Common Thorax Diseases [[CV
 - Fast Automated Analysis of Strong Gravitational Lenses with Convolutional Neural Networks [[arXiv](https://arxiv.org/abs/1708.08842)] [[article](http://www.symmetrymagazine.org/article/neural-networks-meet-space)]
 - TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow [[white paper](https://drive.google.com/file/d/0B20Yn-GSaVHGMVlPanRTRlNIRlk/view)] [[code](https://github.com/tensorflow/agents)]
 - Automated Crowdturfing Attacks and Defenses in Online Review Systems [[arXiv](https://arxiv.org/abs/1708.08151)]
+- Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning [[arXiv](https://arxiv.org/abs/1708.02596)] [[article](http://bair.berkeley.edu/blog/2017/11/30/model-based-rl/)] [[code](https://github.com/nagaban2/nn_dynamics)]
 - Deep Learning for Video Game Playing [[arXiv](https://arxiv.org/abs/1708.07902)]
 - Deep & Cross Network for Ad Click Predictions [[arXiv](https://arxiv.org/abs/1708.05123)]
 - Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms [[arXiv](https://arxiv.org/abs/1708.07747)] [[code](https://github.com/zalandoresearch/fashion-mnist)]
@@ -140,6 +148,7 @@ Weakly-Supervised Classification and Localization of Common Thorax Diseases [[CV
 - Programmable Agents [[arXiv](https://arxiv.org/abs/1706.06383)]
 - Grounded Language Learning in a Simulated 3D World [[arXiv](https://arxiv.org/abs/1706.06551)]
 - Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics [[arXiv](https://arxiv.org/abs/1706.04317)]
+- SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability [[arXiv](https://arxiv.org/abs/1706.05806)] [[article](https://research.googleblog.com/2017/11/interpreting-deep-neural-networks-with.html)] [[code](https://github.com/google/svcca)]
 - One Model To Learn Them All [[arXiv](https://arxiv.org/abs/1706.05137)] [[code](https://github.com/tensorflow/tensor2tensor)] [[article](https://research.googleblog.com/2017/06/multimodel-multi-task-machine-learning.html)]
 - Hybrid Reward Architecture for Reinforcement Learning [[arXiv](https://arxiv.org/abs/1706.04208)]
 - Expected Policy Gradients [[arXiv](https://arxiv.org/abs/1706.05374)]
@@ -186,6 +195,7 @@ Weakly-Supervised Classification and Localization of Common Thorax Diseases [[CV
 - Learning to Skim Text [[arXiv](https://arxiv.org/abs/1704.06877)]
 - Get To The Point: Summarization with Pointer-Generator Networks [[arXiv](https://arxiv.org/abs/1704.04368)] [[code](https://github.com/abisee/pointer-generator)] [[article](http://www.abigailsee.com/2017/04/16/taming-rnns-for-better-summarization.html)]
 - Adversarial Neural Machine Translation [[arXiv](https://arxiv.org/abs/1704.06933)]
+- Deep Q-learning from Demonstrations [[arXiv](https://arxiv.org/abs/1704.03732)]
 - Learning from Demonstrations for Real World Reinforcement Learning [[arXiv](https://arxiv.org/abs/1704.03732)]
 - DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks [[arXiv](https://arxiv.org/abs/1704.02470)] [[article](http://people.ee.ethz.ch/~ihnatova/)] [[code](https://github.com/aiff22/DPED)]
 - A Neural Representation of Sketch Drawings [[arXiv](https://arxiv.org/abs/1704.03477)] [[code](https://github.com/tensorflow/magenta/tree/master/magenta/models/sketch_rnn)] [[article](https://research.googleblog.com/2017/04/teaching-machines-to-draw.html)]