chabb专题之ICLR 2018入选论文公布：23篇Oral，508篇被拒

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好消息，今年ICLR被选入论文，今天早上正式发表。

ICLR是深度学习领域的顶级会议，由深度学习三巨头中的Yoshua Bengio和Yann LeCun主导创办。他们二人仍然是今年ICLR的大会主席。

将于4月底召开的第六届ICLR总共收到了900多篇论文，同比增加一倍。这个大会采用公开评审制度，所有论文会匿名公开在open review网站上，接受同行们的匿名评分和提问。

此前有博客统计了今年ICLR论文的评分情况，平均分是5.24，中位数是5.33。

最新公布的数据显示，ICLR 2018共有23篇论文入围Oral Papers，另有314篇论文获评Poster Papers。另有90篇论文被选为Workshop Papers，508篇论文被拒，63篇论文撤回。

入围的Oral Papers中，此前评分在8.0以上的包括：

Certifiable Distributional Robustness with Principled Adversarial Training
On the Convergence of Adam and Beyond
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations
Multi-Scale Dense Networks for Resource Efficient Image Classification
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
Learning to Represent Programs with Graphs
Wasserstein Auto-Encoders

此前评分较高，但没有中Oral的论文包括：

Emergence of grid-like representations by training recurrent neural networks to perform spatial localization
i-RevNet: Deep Invertible Networks
Stabilizing Adversarial Nets with Prediction Methods

不过这三篇都在Poster Papers之列。

以下是入围Oral Papers的全部论文：

AmbientGAN: Generative models from lossy measurements
Ashish Bora, Eric Price, Alexandros G. Dimakis
评分：7.33
Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
W. James Murdoch, Peter J. Liu, Bin Yu
评分：5.56
Zero-Shot Visual Imitation
Deepak Pathak, Parsa Mahmoudieh, Michael Luo, Pulkit Agrawal, Dian Chen, Fred Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell
评分：6.91
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel
评分：6.91
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
评分：5.67
Neural Sketch Learning for Conditional Program Generation
Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine
评分：7.44
Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
Nadav Cohen, Ronen Tamari, Amnon Shashua
评分：8.00
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
评分：7.80
Breaking the Softmax Bottleneck: A High-Rank RNN Language Model
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen
评分：6.31
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma, Bo Li, Yisen Wang, Sarah M. Erfani, Sudanthi Wijewickrema, Grant Schoenebeck, Michael E. Houle, Dawn Song, James Bailey
评分：7.25
Learning to Represent Programs with Graphs
Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi
评分：8.00
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida
评分：7.33
Wasserstein Auto-Encoders
Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schoelkopf
评分：8.00
Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations
Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
评分：8.50
Certifiable Distributional Robustness with Principled Adversarial Training
Aman Sinha, Hongseok Namkoong, John Duchi
评分：9.00
On the insufficiency of existing momentum schemes for Stochastic Optimization
Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade
评分：6.14
Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang.
评分：5.83
Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
评分：7.57
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, Stephen Clark
评分：6.85
Training and Inference with Integers in Deep Neural Networks
Shuang Wu, Guoqi Li, Luping Shi, Feng Chen
评分：6.27
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Weinberger
评分：8.33
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov, Yonatan Bisk
评分：7.33
On the Convergence of Adam and Beyond
Sashank J. Reddi, Satyen Kale, Sanjiv Kumar
评分：8.56