- A recurrent neural network without Chaos [arXiv]
- Language Modeling with Gated Convolutional Networks [arXiv]
- Learning from Simulated and Unsupervised Images through Adversarial Training [arXiv]
- How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs [arXiv]
- Improving Neural Language Models with a Continuous Cache [arXiv]
- DeepMind Lab [arXiv] [code]
- Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning [arXiv]
- Overcoming catastrophic forgetting in neural networks [arXiv]
- Image-to-Image Translation with Conditional Adversarial Networks [arXiv]
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer [OpenReview]
- Learning to reinforcement learn [arXiv]
- A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs [arXiv]
- Adversarial Training Methods for Semi-Supervised Text Classification [arXiv]
- Importance Sampling with Unequal Support [arXiv]
- Quasi-Recurrent Neural Networks [arXiv]
- Capacity and Learnability in Recurrent Neural Networks [OpenReview]
- Unrolled Generative Adversarial Networks [OpenReview]
- Deep Information Propagation [OpenReview]
- Structured Attention Networks [OpenReview]
- Incremental Sequence Learning [arXiv]
- Delving into Transferable Adversarial Examples and Black-box Attacks [arXiv] [code]
- b-GAN: Unified Framework of Generative Adversarial Networks [OpenReview]
- A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks [OpenReview]
- Categorical Reparameterization with Gumbel-Softmax [arXiv]
- Lip Reading Sentences in the Wild [arXiv]
Reinforcement Learning:
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Learning to reinforcement learn [arXiv]
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A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models [arXiv]
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The Predictron: End-To-End Learning and Planning [OpenReview]
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Generalizing Skills with Semi-Supervised Reinforcement Learning [OpenReview]
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Sample Efficient Actor-Critic with Experience Replay [OpenReview]
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Reinforcement Learning with Unsupervised Auxiliary Tasks [arXiv]
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Neural Architecture Search with Reinforcement Learning [OpenReview]
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Towards Information-Seeking Agents [OpenReview]
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Multi-Agent Cooperation and the Emergence of (Natural) Language [OpenReview]
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Improving Policy Gradient by Exploring Under-appreciated Rewards [OpenReview]
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Stochastic Neural Networks for Hierarchical Reinforcement Learning [OpenReview]
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Tuning Recurrent Neural Networks with Reinforcement Learning [OpenReview]
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RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning [arXiv]
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Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning [OpenReview]
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Learning to Perform Physics Experiments via Deep Reinforcement Learning [OpenReview]
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Reinforcement Learning through Asynchronous Advantage Actor-Critic on a GPU [OpenReview]
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Learning to Compose Words into Sentences with Reinforcement Learning[OpenReview]
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Deep Reinforcement Learning for Accelerating the Convergence Rate [OpenReview]
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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning [arXiv]
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Learning to Compose Words into Sentences with Reinforcement Learning [OpenReview]
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Learning to Navigate in Complex Environments [arXiv]
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Unsupervised Perceptual Rewards for Imitation Learning [OpenReview]
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Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic [OpenReview]
Machine Translation & Dialog
- Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation [arXiv]
- Neural Machine Translation with Reconstruction [arXiv]
- Iterative Refinement for Machine Translation [OpenReview]
- A Convolutional Encoder Model for Neural Machine Translation [arXiv]
- Improving Neural Language Models with a Continuous Cache [OpenReview]
- Vocabulary Selection Strategies for Neural Machine Translation [OpenReview]
- Towards an automatic Turing test: Learning to evaluate dialogue responses [OpenReview]
- Dialogue Learning With Human-in-the-Loop [OpenReview]
- Batch Policy Gradient Methods for Improving Neural Conversation Models [OpenReview]
- Learning through Dialogue Interactions [OpenReview]
- Dual Learning for Machine Translation [arXiv]
- Unsupervised Pretraining for Sequence to Sequence Learning [arXiv]
- Hybrid computing using a neural network with dynamic external memory [nature] [code]
- Understanding deep learning requires rethinking generalization [arXiv]
- Universal adversarial perturbations [arXiv] [code]
- Neural Machine Translation in Linear Time [arXiv] [code]
- Professor Forcing: A New Algorithm for Training Recurrent Networks [arXiv]
- Learning to Protect Communications with Adversarial Neural Cryptography [arXiv]
- Can Active Memory Replace Attention? [arXiv]
- Using Fast Weights to Attend to the Recent Past [arXiv]
- Fully Character-Level Neural Machine Translation without Explicit Segmentation [arXiv]
- Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models [arXiv]
- Video Pixel Networks [arXiv]
- Connecting Generative Adversarial Networks and Actor-Critic Methods [arXiv]
- Learning to Translate in Real-time with Neural Machine Translation [arXiv]
- Xception: Deep Learning with Depthwise Separable Convolutions [arXiv]
- Collective Robot Reinforcement Learning with Distributed Asynchronous Guided Policy Search [arXiv]
- Pointer Sentinel Mixture Models [arXiv]
- Towards Deep Symbolic Reinforcement Learning [arXiv]
- HyperNetworks [arXiv]
- Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation [arXiv]
- Safe and Efficient Off-Policy Reinforcement Learning [arXiv]
- Playing FPS Games with Deep Reinforcement Learning [arXiv]
- SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient [arXiv]
- Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks [arXiv]
- Energy-based Generative Adversarial Network [arXiv]
- Stealing Machine Learning Models via Prediction APIs [arXiv]
- Semi-Supervised Classification with Graph Convolutional Networks [arXiv]
- WaveNet: A Generative Model For Raw Audio [arXiv]
- Hierarchical Multiscale Recurrent Neural Networks [arXiv]
- End-to-End Reinforcement Learning of Dialogue Agents for Information Access [arXiv]
- Deep Neural Networks for YouTube Recommendations [paper]
- Semantics derived automatically from language corpora contain human-like biases [arXiv]
- Why does deep and cheap learning work so well? [arXiv]
- Machine Comprehension Using Match-LSTM and Answer Pointer [arXiv]
- Stacked Approximated Regression Machine: A Simple Deep Learning Approach [arXiv]
- Decoupled Neural Interfaces using Synthetic Gradients [arXiv]
- WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia [arXiv]
- Temporal Attention Model for Neural Machine Translation [arXiv]
- Residual Networks of Residual Networks: Multilevel Residual Networks [arXiv]
- Learning Online Alignments with Continuous Rewards Policy Gradient [arXiv]
- An Actor-Critic Algorithm for Sequence Prediction [arXiv]
- Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner [arXiv]
- Recurrent Neural Machine Translation [arXiv]
- MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition [arXiv]
- Layer Normalization [arXiv]
- Neural Machine Translation with Recurrent Attention Modeling [arXiv]
- Neural Semantic Encoders [arXiv]
- Attention-over-Attention Neural Networks for Reading Comprehension [arXiv]
- sk_p: a neural program corrector for MOOCs [arXiv]
- Recurrent Highway Networks [arXiv]
- Bag of Tricks for Efficient Text Classification [arXiv]
- Context-Dependent Word Representation for Neural Machine Translation [arXiv]
- Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes [arXiv]
- Sequence-to-Sequence Learning as Beam-Search Optimization [arXiv]
- Sequence-Level Knowledge Distillation [arXiv]
- Policy Networks with Two-Stage Training for Dialogue Systems [arXiv]
- Towards an integration of deep learning and neuroscience [arXiv]
- On Multiplicative Integration with Recurrent Neural Networks [arxiv]
- Wide & Deep Learning for Recommender Systems [arXiv]
- Online and Offline Handwritten Chinese Character Recognition [arXiv]
- Tutorial on Variational Autoencoders [arXiv]
- Concrete Problems in AI Safety [arXiv]
- Deep Reinforcement Learning Discovers Internal Models [arXiv]
- SQuAD: 100,000+ Questions for Machine Comprehension of Text [arXiv]
- Conditional Image Generation with PixelCNN Decoders [arXiv]
- Model-Free Episodic Control [arXiv]
- Progressive Neural Networks [arXiv]
- Improved Techniques for Training GANs [arXiv] [code]
- Memory-Efficient Backpropagation Through Time [arXiv]
- InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets [arXiv]
- Zero-Resource Translation with Multi-Lingual Neural Machine Translation [arXiv]
- Key-Value Memory Networks for Directly Reading Documents [arXiv]
- Deep Recurrent Models with Fast-Forward Connections for Neural Machine Translatin [arXiv]
- Learning to learn by gradient descent by gradient descent [arXiv]
- Learning Language Games through Interaction [arXiv]
- Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations [arXiv]
- Smart Reply: Automated Response Suggestion for Email [arXiv]
- Virtual Adversarial Training for Semi-Supervised Text Classification [arXiv]
- Deep Reinforcement Learning for Dialogue Generation [arXiv]
- Very Deep Convolutional Networks for Natural Language Processing [arXiv]
- Neural Net Models for Open-Domain Discourse Coherence [arXiv]
- Neural Architectures for Fine-grained Entity Type Classification [arXiv]
- Matching Networks for One Shot Learning [arXiv]
- Cooperative Inverse Reinforcement Learning [arXiv] [article]
- Gated-Attention Readers for Text Comprehension [arXiv]
- End-to-end LSTM-based dialog control optimized with supervised and reinforcement learning [arXiv]
- Iterative Alternating Neural Attention for Machine Reading [arXiv]
- Memory-enhanced Decoder for Neural Machine Translation [arXiv]
- Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation [arXiv]
- Learning to Optimize [arXiv] [article]
- Natural Language Comprehension with the EpiReader [arXiv]
- Conversational Contextual Cues: The Case of Personalization and History for Response Ranking [arXiv]
- Adversarially Learned Inference [arXiv]
- OpenAI Gym [arXiv] [code]
- Neural Network Translation Models for Grammatical Error Correction [arXiv]