学界 | NIPS 2017论文接收列表公布：清华、北大、腾讯、百度论文盘点

机器学习领域顶会 NIPS 2017 将于 12 月 4 号-9号在美国加州长滩举办。今日，大会公布了NIPS 2017 的论文接收列表，让我们先睹为快。

据统计，本届 NIPS 共收到 3240 篇论文投稿，其中 678篇论文被选中，接收比例为20.9%。在接收的论文中，有40 篇为Oral 论文，112篇为Spotlight 论文。

上周，大会主办方已经邮件通知接收论文，当时机器之心了解到杜克大学、微软亚洲研究院、百度等来自学界、产业界的论文被此届NIPS 接收。

今日，大会公布了所有论文接收列表，机器之心对清华、北大等院校，百度、腾讯等公司的接收论文进行了盘点。

全部接收论文列表：https://nips.cc/Conferences/2017/AcceptedPapersInitial

清华大学：14篇（并非全部是第一作者）

• Gated Recurrent Convolution Neural Network for OCR

• Jianfeng Wang (Beijing University of Posts and Telecommunications) · Xiaolin Hu (Tsinghua University)

• PredRNN: Recurrent Neural Networks for Video Prediction using Spatiotemporal LSTMs

• Yunbo Wang (Tsinghua University) · Mingsheng Long (Tsinghua University) · Jianmin Wang (Tsinghua University) · Philip S Yu (UIC)

• Translation Synchronization via Truncated Least Squares

• Xiangru Huang (UT Austin) · Zhenxiao Liang (Tsinghua University) · Chandrajit Bajaj (The University of Texas at Austin) · Qixing Huang (The University of Texas at Austin)

• Runtime Neural Pruning

• Ji Lin (Tsinghua University) · Yongming Rao (Tsinghua University) · Jiwen Lu (Tsinghua University)

• Learning Multiple Tasks with Deep Relationship Networks

• Mingsheng Long (Tsinghua University) · Jianmin Wang (Tsinghua University) · Philip S Yu (UIC)

• Associative Embedding: End-to-End Learning for Joint Detection and Grouping

• Alejandro Newell (University of Michigan) · Zhiao Huang (Tsinghua University) · Jia Deng (University of Michigan)

• Collaborative PAC Learning

• Avrim Blum (CMU) · Nika Haghtalab (Carnegie Mellon University) · Ariel D Procaccia (Carnegie Mellon University) · IIIS Mingda Qiao (IIIS, Tsinghua University)

• Dynamic Revenue Sharing

• Santiago Balseiro (Duke University) · Max Lin (Google) · Vahab Mirrokni (Google Research NYC) · Renato Leme (Google Research) · IIIS Song Zuo (IIIS, Tsinghua University)

• Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding

• Wenbing Huang (Tencent AI Lab) · Fuchun Sun (Tsinghua University) · Tong Zhang (The Australian National University) · Junzhou Huang (University of Texas at Arlington) · Mehrtash Harandi (Data61)
  

• Structured Generative Adversarial Networks

• Hao Zhang (Carnegie Mellon University) · Zhijie Deng (Tsinghua University) · Xiaodan Liang (Carnegie Mellon University) · Jun Zhu (Tsinghua University) · Eric P Xing (Carnegie Mellon University)

• Triple Generative Adversarial Nets

• Chongxuan LI (Tsinghua University) · Kun Xu () · Jun Zhu (Tsinghua University) · Bo Zhang (Tsinghua University)

• Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex

• Chaobing Song (Tsinghua University) · Shaobo Cui (Tsinghua University) · Shu-Tao Xia (Tsinghua University) · Yong Jiang (Tsinghua-Berkeley Shenzhen Institute)

• Identifying Outlier Arms in Multi-Armed Bandit

• Honglei Zhuang (University of Illinois) · Chi Wang (Microsoft Research) · Yifan Wang (Tsinghua University)

• Population Matching Discrepancy and Applications in Deep Learning

• Jianfei Chen (Tsinghua University) · Chongxuan LI (Tsinghua University) · Yizhong Ru (Tsinghua University) · Jun Zhu (Tsinghua University)

北京大学：6篇（并非全部是第一作者）

• Decoding with Value Networks for Neural Machine Translation

• Di He (Microsoft Research) · Hanqing Lu (Zhejiang University) · Yingce Xia (University of Science and Technology of China) · Tao Qin (Microsoft Research) · Liwei Wang (Peking University) · Tieyan Liu (Microsoft Research)

• Deep Dynamic Poisson Factorization Model

• Chengyue Gong (PeKing University) · win-bin huang (peking university)

• A Highly Efficient Gradient Boosting Decision Tree

• Guolin Ke (Microsoft Research) · Qi Meng (Peking University) · Taifeng Wang (Microsoft Research) · Wei Chen (Microsoft Research Asia) · Weidong Ma (Microsoft Research) · Tie-Yan Liu (Microsoft Research)

• Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers

• Cong Fang (Peking University) · Feng Cheng (Peking University) · Zhouchen Lin (Peking University)

• From Bayesian Sparsity to Gated Recurrent Nets

• Hao He (PekingUniversity) · Bo Xin (Microsoft Research) · David Wipf (Microsoft Research)

• The Expressive Power of Neural Networks: A View from the Width

• Zhou Lu (Peking University) · Hongming Pu (Peking university) · Feicheng Wang (Peking University) · Zhiqiang Hu () · Liwei Wang (Peking University)

复旦大学：1篇

• Mixture-Rank Matrix Approximation for Collaborative Filtering

• Dongsheng Li (IBM Research - China) · Chao Chen (Tongji University) · Wei Liu (Tencent Technology (Shenzhen) Company Limited) · Tun Lu (Fudan University) · Ning Gu (Fudan University) · Stephen Chu (IBM Research - China)

中国科学技术大学：4篇（并非全部是第一作者）

• Decoding with Value Networks for Neural Machine Translation

• Di He (Microsoft Research) · Hanqing Lu (Zhejiang University) · Yingce Xia (University of Science and Technology of China) · Tao Qin (Microsoft Research) · Liwei Wang (Peking University) · Tieyan Liu (Microsoft Research)

• Deliberation Networks: Sequence Generation Beyond One-Pass Decoding

• Yingce Xia (University of Science and Technology of China) · Lijun Wu (Sun Yat-sen University) · Jianxin Lin (USTC) · Fei Tian (Miicrosoft Research) · Tao Qin (Microsoft Research) · Tie-Yan Liu (Microsoft Research)

• Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning

• Liangpeng Zhang (University of Birmingham) · Ke Tang (University of Science and Technology of China) · Xin Yao (University of Birmingham)

• Subset Selection under Noise

• Chao Qian (University of Science and Technology of China) · Jing-Cheng Shi (Nanjing University) · Yang Yu () · Ke Tang (University of Science and Technology of China) · Zhi-Hua Zhou (Nanjing University)

腾讯：3篇（有的并非第一作者）

• Mixture-Rank Matrix Approximation for Collaborative Filtering

• Dongsheng Li (IBM Research - China) · Chao Chen (Tongji University) · Wei Liu (Tencent Technology (Shenzhen) Company Limited) · Tun Lu (Fudan University) · Ning Gu (Fudan University) · Stephen Chu (IBM Research - China)

• Geometric Descent Method for Convex Composite Minimization

• Shixiang Chen (The Chinese University of HongKong) · Shiqian Ma (UC Davis) · Wei Liu (Tencent Technology (Shenzhen) Company Limited)

• Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding

• Wenbing Huang (Tencent AI Lab) · Fuchun Sun (Tsinghua University) · Tong Zhang (The Australian National University) · Junzhou Huang (University of Texas at Arlington) · Mehrtash Harandi (Data61)

百度

• Deep Voice 2: Multi-Speaker Neural Text-to-Speech

• Andrew Gibiansky (Baidu Research)

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