#1 · Paper · Jun 7, 2016
Learning to Compose Neural Networks for Question Answering
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, Dan Klein · arxiv.org
Best Papers for Machine Learning in June 2016
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Query conditions: topic=machine-learning, publish_at in 201606, and type=paper
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#2 · Paper · Jun 2, 2016
Adversarially Learned Inference
Vincent Dumoulin, Ishmael Belghazi, Ben Poole, Alex Lamb, Martin Arjovsky, Olivier Mastropietro, Aaron Courville · arxiv.org
#3 · Paper · Jun 7, 2016
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen, George Papandreou, Iasonas Kokkinos, Kevin Murphy, Alan L. Yuille · arxiv.org
#4 · Paper · Jun 14, 2016
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz, Misha Denil, Sergio Gomez, Matthew W. Hoffman, David Pfau, Tom Schaul, Nando de Freitas · arxiv.org
#5 · Paper · Jun 5, 2016
OpenAI Gym
Greg Brockman, Vicki Cheung, Ludwig Pettersson, Jonas Schneider, John Schulman, Jie Tang, Wojciech Zaremba · arxiv.org
#6 · Paper · Jun 21, 2016
A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation
Junyoung Chung, Kyunghyun Cho, Yoshua Bengio · arxiv.org
#7 · Paper · Jun 23, 2016
Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
Minh-Thang Luong, Christopher D. Manning · arxiv.org
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