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Depthwise Separable Convolutions for Neural Machine Translation
#269
opened Jun 12, 2017 by
sotetsuk
Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech
#268
opened Jun 10, 2017 by
sotetsuk
A unified view of entropy-regularized Markov decision processes
#267
opened May 29, 2017 by
sotetsuk
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
#266
opened May 25, 2017 by
sotetsuk
Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning.
#264
opened May 24, 2017 by
sotetsuk
The Marginal Value of Adaptive Gradient Methods in Machine Learning
#263
opened May 24, 2017 by
sotetsuk
Increasing the action gap: New operators for reinforcement learning.
#259
opened Apr 23, 2017 by
sotetsuk
Get To The Point: Summarization with Pointer-Generator Networks
#258
opened Apr 22, 2017 by
sotetsuk
Scheduled sampling for sequence prediction with recurrent neural networks
#257
opened Apr 20, 2017 by
sotetsuk
Morphological Inflection Generation with Hard Monotonic Attention
#256
opened Apr 20, 2017 by
sotetsuk
Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
#253
opened Apr 8, 2017 by
sotetsuk
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks
#252
opened Mar 30, 2017 by
sotetsuk
Imitation learning for structured prediction in natural language processing
#251
opened Mar 30, 2017 by
sotetsuk
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
#249
opened Mar 15, 2017 by
sotetsuk
Dropout Inference in Bayesian Neural Networks with Alpha-divergences
Neural
#246
opened Mar 8, 2017 by
sotetsuk
Function Optimization Using Connectionist Reinforcement Learning Algorithms
#245
opened Mar 8, 2017 by
sotetsuk
Reward augmented maximum likelihood for neural structured prediction
RL
#244
opened Mar 8, 2017 by
sotetsuk
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
#241
opened Mar 7, 2017 by
sotetsuk
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