DL paper notes 2017-03

2017-03

• Improved Training of Wasserstein GANs [arXiv]
• Evolution Strategies as a Scalable Alternative to Reinforcement Learning [arXiv]
• Controllable Text Generation [arXiv]
• Neural Episodic Control [arXiv]
• A Structured Self-attentive Sentence Embedding [arXiv]
• Multi-step Reinforcement Learning: A Unifying Algorithm [arXiv]
• Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG [arXiv]
• FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning [arXiv] [article] [article2]
• Massive Exploration of Neural Machine Translation Architectures [arXiv] [code]
• Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression [arXiv] [article] [code]
• Minimax Regret Bounds for Reinforcement Learning [arXiv]
• Sharp Minima Can Generalize For Deep Nets [arXiv]
• Parallel Multiscale Autoregressive Density Estimation [arXiv]
• Neural Machine Translation and Sequence-to-sequence Models: A Tutorial [arXiv]
• Large-Scale Evolution of Image Classifiers [arXiv]
• FeUdal Networks for Hierarchical Reinforcement Learning [arXiv]
• Evolving Deep Neural Networks [arXiv]
• How to Escape Saddle Points Efficiently [arXiv] [article]
• Opening the Black Box of Deep Neural Networks via Information [arXiv] [video]
• Understanding Synthetic Gradients and Decoupled Neural Interfaces [arXiv]
• Learning to Optimize Neural Nets [arXiv] [article]