#1 · Paper · Mar 22, 2017
Deformable Convolutional Networks
Jifeng Dai, Haozhi Qi, Yuwen Xiong, Yi Li, Guodong Zhang, Han Hu, Yichen Wei · arxiv.org
Best Papers for Machine Learning in 2017
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Query conditions: topic=machine-learning, publish_at in 2017, and type=paper
Top Picks
#2 · Paper · Jan 26, 2017
Wasserstein GAN
Martin Arjovsky, Soumith Chintala, Léon Bottou · arxiv.org
#3 · Paper · Mar 30, 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models
Sergey Ioffe · arxiv.org
#4 · Paper · Jan 26, 2017
Deep Reinforcement Learning: An Overview
Yuxi Li · arxiv.org
#5 · Paper · Sep 27, 2017
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Rotem Dror, Gili Baumer, Marina Bogomolov, Roi Reichart · arxiv.org
#6 · Paper · Feb 24, 2017
Least Squares Generative Adversarial Networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y. K. Lau, Zhen Wang · arxiv.org
#7 · Paper · Jul 25, 2017
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin · arxiv.org
#8 · Paper · Mar 7, 2017
Deep Voice: Real-time Neural Text-to-Speech
Sercan O. Arik, Mike Chrzanowski, Adam Coates, Gregory Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi · arxiv.org
#9 · Paper · Mar 10, 2017
Evolution Strategies as a Scalable Alternative to Reinforcement Learning
Tim Salimans, Jonathan Ho, Xi Chen, Ilya Sutskever · arxiv.org
#10 · Paper · Jun 19, 2017
Enriching Word Vectors with Subword Information
Piotr Bojanowski, Edouard Grave, Armand Joulin, Tomas Mikolov · arxiv.org
#11 · Paper · Oct 4, 2017
LSTM: A Search Space Odyssey
Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber · arxiv.org
#12 · Paper · Jan 27, 2017
Very Deep Convolutional Networks for Text Classification
Alexis Conneau, Holger Schwenk, Loïc Barrault, Yann Lecun · arxiv.org
#13 · Paper · Feb 21, 2017
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal, Xinlei Chen, Bryan Russell, Abhinav Gupta, Deva Ramanan · arxiv.org
#14 · Paper · Mar 15, 2017
Learning to Discover Cross-Domain Relations with Generative Adversarial Networks
Taeksoo Kim, Moonsu Cha, Hyunsoo Kim, Jungkwon Lee, Jiwon Kim · arxiv.org
#15 · Paper · Mar 5, 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig · arxiv.org
#16 · Paper · Apr 6, 2017
Tacotron: Towards End-to-End Speech Synthesis
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous · arxiv.org
#17 · Paper · Dec 26, 2017
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin · arxiv.org
#18 · Paper · Jul 22, 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell, Patrick Verga, David Belanger, Andrew McCallum · arxiv.org
#19 · Paper · Feb 26, 2017
Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals · arxiv.org
#20 · Paper · Jan 30, 2017
Adam: A Method for Stochastic Optimization
Diederik P. Kingma, Jimmy Ba · arxiv.org
#21 · Paper · Jan 25, 2017
Dermatologist-level classification of skin cancer with deep neural networks - Nature
Andre Esteva, Brett Kuprel, Roberto A. Novoa, Justin Ko, Susan M. Swetter, Helen M. Blau, Sebastian Thrun · www.nature.com
#22 · Paper · Mar 22, 2017
Deep Photo Style Transfer
Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala · arxiv.org
#23 · Paper · Feb 21, 2017
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves · arxiv.org
#24 · Paper · Apr 17, 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, Hartwig Adam · arxiv.org
#25 · Paper · Mar 3, 2017
On the Origin of Deep Learning
Haohan Wang, Bhiksha Raj · arxiv.org
#26 · Paper · Feb 6, 2017
A Simple but Tough-to-Beat Baseline for Sentence Embeddings
Sanjeev Arora, Yingyu Liang, Tengyu Ma · openreview.net
#27 · Paper · Jun 12, 2017
Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin · arXiv
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