ICLR 2018入选论文公布：23篇Oral，508篇被拒

岳排槐 发自 凹非寺量子位 出品 | 公众号 QbitAI 好消息，今年的ICLR入选论文，今早正式公布。 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 http://ift.tt/2DNjwfW 评分：7.33 Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs W. James Murdoch, Peter J. Liu, Bin Yu http://ift.tt/2DtsoXL 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 http://ift.tt/2DNjwMY 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 http://ift.tt/2nlM0Cq 评分：6.91 Progressive Growing of GANs for Improved Quality, Stability, and Variation Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen http://ift.tt/2DQ3QbS 评分：5.67 Neural Sketch Learning for Conditional Program Generation Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine http://ift.tt/2nlM2Ky 评分：7.44 Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions Nadav Cohen, Ronen Tamari, Amnon Shashua http://ift.tt/2DOMrjX 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 http://ift.tt/2nr1fKf 评分：7.80 Breaking the Softmax Bottleneck: A High-Rank RNN Language Model Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen http://ift.tt/2DNb54f 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 http://ift.tt/2nlM6Ki 评分：7.25 Learning to Represent Programs with Graphs Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi http://ift.tt/2DOMsEx 评分：8.00 Spectral Normalization for Generative Adversarial Networks Takeru Miyato, Toshiki Kataoka, Masanori Koyama, Yuichi Yoshida http://ift.tt/2zlO4Di 评分：7.33 Wasserstein Auto-Encoders Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schoelkopf http://ift.tt/2DOMts5 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 http://ift.tt/2nlM7Om 评分：8.50 Certifiable Distributional Robustness with Principled Adversarial Training Aman Sinha, Hongseok Namkoong, John Duchi http://ift.tt/2DNhnkp 评分：9.00 On the insufficiency of existing momentum schemes for Stochastic Optimization Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M. Kakade http://ift.tt/2nlM8lo 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. http://ift.tt/2DMc98n 评分：5.83 Spherical CNNs Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling http://ift.tt/2nsCeP8 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 http://ift.tt/2DNhmNn 评分：6.85 Training and Inference with Integers in Deep Neural Networks Shuang Wu, Guoqi Li, Luping Shi, Feng Chen http://ift.tt/2nlMbxA 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 http://ift.tt/2DJJGA6 评分：8.33 Synthetic and Natural Noise Both Break Neural Machine Translation Yonatan Belinkov, Yonatan Bisk http://ift.tt/2nlMc4C 评分：7.33 On the Convergence of Adam and Beyond Sashank J. Reddi, Satyen Kale, Sanjiv Kumar http://ift.tt/2AnoIo3 评分：8.56 — 完 — 欢迎大家关注我们的专栏：量子位 - 知乎专栏 诚挚招聘 量子位正在招募编辑/记者，工作地点在北京中关村。期待有才气、有热情的同学加入我们！相关细节，请在量子位公众号(QbitAI)对话界面，回复"招聘"两个字。 量子位 QbitAI · 头条号签约作者 վ'ᴗ' ի 追踪AI技术和产品新动态 via 量子位 - 知乎专栏 http://ift.tt/2nlMdFI RSS5