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Depthwise Separable Convolutions for Neural Machine Translation

Status: Open.

#269 In sotetsuk/machine-learning-survey;

· sotetsuk opened on Jun 12, 2017

Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech

Status: Open.

#268 In sotetsuk/machine-learning-survey;

· sotetsuk opened on Jun 10, 2017

A unified view of entropy-regularized Markov decision processes

Status: Open.

#267 In sotetsuk/machine-learning-survey;

· sotetsuk opened on May 29, 2017

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

Status: Open.

#266 In sotetsuk/machine-learning-survey;

· sotetsuk opened on May 25, 2017

Continual Learning with Deep Generative Replay

Status: Open.

#265 In sotetsuk/machine-learning-survey;

· sotetsuk opened on May 25, 2017

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

Status: Open.

#264 In sotetsuk/machine-learning-survey;

· sotetsuk opened on May 24, 2017

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Status: Open.

#263 In sotetsuk/machine-learning-survey;

· sotetsuk opened on May 24, 2017

a deep reinforced model for abstractive summarization

Status: Open.

#262 In sotetsuk/machine-learning-survey;

· sotetsuk opened on May 12, 2017

A Recurrent Neural Network without Chaos

Status: Open.

#261 In sotetsuk/machine-learning-survey;

· sotetsuk opened on Apr 26, 2017

DeepWalk

Status: Open.

#260 In sotetsuk/machine-learning-survey;

· sotetsuk opened on Apr 24, 2017

Increasing the action gap: New operators for reinforcement learning.

Status: Open.

#259 In sotetsuk/machine-learning-survey;

· sotetsuk opened on Apr 23, 2017

Get To The Point: Summarization with Pointer-Generator Networks

Status: Open.

#258 In sotetsuk/machine-learning-survey;

· sotetsuk opened on Apr 22, 2017