- The NarrativeQA Reading Comprehension Challenge [arXiv] [dataset]
- Objects that Sound [arXiv]
- Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions [arXiv] [article] [article2]
- Superhuman AI for heads-up no-limit poker: Libratus beats top professionals [Science]
- Mathematics of Deep Learning [arXiv]
- State-of-the-art Speech Recognition With Sequence-to-Sequence Models [arXiv] [article]
- Modeling Past and Future for Neural Machine Translation [arxiv]
- Zero-Shot Learning via Latent Space Encoding [arxiv]
- Deep Unsupervised Clustering Using Mixture of Autoencoders [arxiv]
- Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works [arxiv]
- SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution[arxiv]
- SEE: Towards Semi-Supervised End-to-End Scene Text Recognition[arxiv]
- Adversarial Examples: Attacks and Defenses for Deep Learning[arxiv]
- clcNet: Improving the Efficiency of Convolutional Neural Network using Channel Local Convolutions[arxiv]
- Generating and designing DNA with deep generative models [arxiv]
- Predicting emotion in movies: Recurrent and convolutional models applied to videos [upcommons]
- MentorNet: Regularizing Very Deep Neural Networks on Corrupted Labels [arxiv]
- Deliberation Network: Pushing the frontiers of neural machine translation [Research at Microsoft] [article]
- GPU Kernels for Block-Sparse Weights [Research at OpenAI] [article] [code]
- Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm [arXiv]
- Deep Learning Scaling is Predictable, Empirically [arXiv] [article]
- High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs [arXiv] [article] [code]
- StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation [arXiv] [code]
- Population Based Training of Neural Networks [arXiv] [article]
- Distilling a Neural Network Into a Soft Decision Tree [arXiv]
- Neural Text Generation: A Practical Guide [arXiv]
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis [DeepMind documents] [article]
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning [arXiv] [article]
- Non-local Neural Networks [arXiv]
- Deep Image Prior [paper] [article] [code]
- Online Deep Learning: Learning Deep Neural Networks on the Fly [arXiv]
- Learning Explanatory Rules from Noisy Data [arXiv]
- Improving Palliative Care with Deep Learning [arXiv] [article]
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection [arXiv]
- Weighted Transformer Network for Machine Translation [arXiv] [article]
- Non-Autoregressive Neural Machine Translation [arXiv] [article]
- Block-Sparse Recurrent Neural Networks [arXiv]
- A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning [arXiv]
- Neural Discrete Representation Learning [arXiv] [article]
- Don't Decay the Learning Rate, Increase the Batch Size [arXiv]
- Hierarchical Representations for Efficient Architecture Search [arXiv]
- Unsupervised Machine Translation Using Monolingual Corpora Only [arXiv]
- Dynamic Routing Between Capsules [arXiv]
- A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs [Science] [article] [code]
- Understanding Grounded Language Learning Agents [arXiv]
- Progressive Growing of GANs for Improved Quality, Stability, and Variation [Research at Nvidia] [article] [code]
- Meta Learning Shared Hierarchies [arXiv] [article] [code]
- Deep Voice 3: 2000-Speaker Neural Text-to-Speech [arXiv] [article]
- AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions [arXiv] [article] [dataset]
- Mastering the game of Go without Human Knowledge [Nature] [article]
- Sim-to-Real Transfer of Robotic Control with Dynamics Randomization [arXiv] [article]
- Asymmetric Actor Critic for Image-Based Robot Learning [arXiv] [article]
- A systematic study of the class imbalance problem in convolutional neural networks [arXiv]
- Generalization in Deep Learning [arXiv]
- Swish: a Self-Gated Activation Function [arXiv]
- Emergent Translation in Multi-Agent Communication [arXiv]
- SLING: A framework for frame semantic parsing [arXiv] [article] [code]
- Meta-Learning for Wrestling [arXiv] [article] [code]
- Mixed Precision Training [arXiv] [article] [article2] [code/docs]
- Generative Adversarial Networks: An Overview [arXiv]
- Emergent Complexity via Multi-Agent Competition [arXiv] [article] [code]
- Deep Lattice Networks and Partial Monotonic Functions [Research at Google] [article] [code]
- The IIT Bombay English-Hindi Parallel Corpus [arXiv] [article]
- Rainbow: Combining Improvements in Deep Reinforcement Learning [arXiv]
- Lifelong Learning With Dynamically Expandable Networks [arXiv]
- Variational Inference & Deep Learning: A New Synthesis (Thesis) [dropbox]
- Neural Task Programming: Learning to Generalize Across Hierarchical Tasks [arXiv]
- Neural Color Transfer between Images [arXiv]
- The hippocampus as a predictive map [biorXiv] [article]
- Variational Memory Addressing in Generative Models [arXiv]
- Overcoming Exploration in Reinforcement Learning with Demonstrations [arXiv]
- A Hybrid DSP/Deep Learning Approach to Real-Time Full-Band Speech Enhancement [arXiv] [article] [code]
- ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases [CVF] [article] [dataset]
- Generating Sentences by Editing Prototypes [arXiv] [code]
- The Consciousness Prior [arXiv]
- StarSpace: Embed All The Things! [arXiv] [code]
- Neural Optimizer Search with Reinforcement Learning [arXiv]
- Dynamic Evaluation of Neural Sequence Models [arXiv]
- Neural Machine Translation [arXiv]
- Matterport3D: Learning from RGB-D Data in Indoor Environments [arXiv] [article] [article2] [code]
- Deep Reinforcement Learning that Matters [arXiv] [code]
- The Uncertainty Bellman Equation and Exploration [arXiv]
- WESPE: Weakly Supervised Photo Enhancer for Digital Cameras [arXiv] [article]
- Globally Normalized Reader [arXiv] [article] [code]
- A Brief Introduction to Machine Learning for Engineers [arXiv]
- Learning with Opponent-Learning Awareness [arXiv] [article]
- A Deep Reinforcement Learning Chatbot [arXiv]
- Squeeze-and-Excitation Networks [arXiv]
- Efficient Methods and Hardware for Deep Learning (Thesis) [Stanford Digital Repository]
- Design and Analysis of the NIPS 2016 Review Process [arXiv]
- Fast Automated Analysis of Strong Gravitational Lenses with Convolutional Neural Networks [arXiv] [article]
- TensorFlow Agents: Efficient Batched Reinforcement Learning in TensorFlow [white paper] [code]
- Automated Crowdturfing Attacks and Defenses in Online Review Systems [arXiv]
- Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning [arXiv] [article] [code]
- Deep Learning for Video Game Playing [arXiv]
- Deep & Cross Network for Ad Click Predictions [arXiv]
- Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms [arXiv] [code]
- Multi-task Self-Supervised Visual Learning [arXiv]
- Learning a Multi-View Stereo Machine [arXiv] [article] [code] (soon)
- Twin Networks: Using the Future as a Regularizer [arXiv]
- A Brief Survey of Deep Reinforcement Learning [arXiv]
- Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation [arXiv] [code]
- On the Effectiveness of Visible Watermarks [CVPR] [article]
- Practical Network Blocks Design with Q-Learning [arXiv]
- On Ensuring that Intelligent Machines Are Well-Behaved [arXiv]
- Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control [arXiv] [code]
- Training Deep AutoEncoders for Collaborative Filtering [arXiv] [code]
- Learning to Perform a Perched Landing on the GroundUsing Deep Reinforcement Learning [nature]
- Revisiting the Effectiveness of Off-the-shelf Temporal Modeling Approaches for Large-scale Video Classification [arXiv] [article]
- Intrinsically Motivated Goal Exploration Processes with Automatic Curriculum Learning [arXiv]
- Neural Expectation Maximization [arXiv] [code]
- Google Vizier: A Service for Black-Box Optimization [Research at Google]
- STARDATA: A StarCraft AI Research Dataset [arXiv] [code]
- Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm [arXiv] [code] [article]
- Natural Language Processing with Small Feed-Forward Networks [arXiv]