Issues

• Depthwise Separable Convolutions for Neural Machine Translation

  sotetsuk/machine-learning-survey#269 · Filter by author sotetsuk opened on Jun 12, 2017

• Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech

  sotetsuk/machine-learning-survey#268 · Filter by author sotetsuk opened on Jun 10, 2017

• A unified view of entropy-regularized Markov decision processes

  sotetsuk/machine-learning-survey#267 · Filter by author sotetsuk opened on May 29, 2017

• Comparison of Maximum Likelihood and GAN-based training of Real NVPs

  sotetsuk/machine-learning-survey#266 · Filter by author sotetsuk opened on May 25, 2017

• Continual Learning with Deep Generative Replay

  sotetsuk/machine-learning-survey#265 · Filter by author sotetsuk opened on May 25, 2017

• Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning.

  sotetsuk/machine-learning-survey#264 · Filter by author sotetsuk opened on May 24, 2017

• The Marginal Value of Adaptive Gradient Methods in Machine Learning

  sotetsuk/machine-learning-survey#263 · Filter by author sotetsuk opened on May 24, 2017

• a deep reinforced model for abstractive summarization

  sotetsuk/machine-learning-survey#262 · Filter by author sotetsuk opened on May 12, 2017
  1

• A Recurrent Neural Network without Chaos

  sotetsuk/machine-learning-survey#261 · Filter by author sotetsuk opened on Apr 26, 2017

• DeepWalk

  sotetsuk/machine-learning-survey#260 · Filter by author sotetsuk opened on Apr 24, 2017

• Increasing the action gap: New operators for reinforcement learning.

  sotetsuk/machine-learning-survey#259 · Filter by author sotetsuk opened on Apr 23, 2017

• Get To The Point: Summarization with Pointer-Generator Networks

  sotetsuk/machine-learning-survey#258 · Filter by author sotetsuk opened on Apr 22, 2017

• Scheduled sampling for sequence prediction with recurrent neural networks

  sotetsuk/machine-learning-survey#257 · Filter by author sotetsuk opened on Apr 20, 2017

• Morphological Inflection Generation with Hard Monotonic Attention

  sotetsuk/machine-learning-survey#256 · Filter by author sotetsuk opened on Apr 20, 2017

• Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction

  sotetsuk/machine-learning-survey#253 · Filter by author sotetsuk opened on Apr 8, 2017

• Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

  sotetsuk/machine-learning-survey#252 · Filter by author sotetsuk opened on Mar 30, 2017

• Imitation learning for structured prediction in natural language processing

  sotetsuk/machine-learning-survey#251 · Filter by author sotetsuk opened on Mar 30, 2017

• Tree-to-Sequence Attentional Neural Machine Translation

  sotetsuk/machine-learning-survey#250 · Filter by author sotetsuk opened on Mar 28, 2017

• Evolution Strategies as a Scalable Alternative to Reinforcement Learning

  sotetsuk/machine-learning-survey#249 · Filter by author sotetsuk opened on Mar 15, 2017

• Variational Inference: A Review for Statisticians

  sotetsuk/machine-learning-survey#248 · Filter by author sotetsuk opened on Mar 13, 2017

• Dropout Inference in Bayesian Neural Networks with Alpha-divergences

  Neural
  sotetsuk/machine-learning-survey#246 · Filter by author sotetsuk opened on Mar 8, 2017

• Function Optimization Using Connectionist Reinforcement Learning Algorithms

  sotetsuk/machine-learning-survey#245 · Filter by author sotetsuk opened on Mar 8, 2017

• Reward augmented maximum likelihood for neural structured prediction

  RL
  sotetsuk/machine-learning-survey#244 · Filter by author sotetsuk opened on Mar 8, 2017

• Count-Based Exploration with Neural Density Models

  sotetsuk/machine-learning-survey#242 · Filter by author sotetsuk opened on Mar 7, 2017

• Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

  sotetsuk/machine-learning-survey#241 · Filter by author sotetsuk opened on Mar 7, 2017