NeurIPS 2020论文接收列表公布，智源研究院35篇入围
近日，机器学习和计算神经科学领域国际顶会NeurIPS 2020论文接收列表公布，共接收论文1899篇，包含Oral论文105篇，Spotlight论文280篇。
此次接收列表中，智源研究院共有35篇入围——朱军8篇，王立威4篇，唐杰3篇，黄铁军、张长水、叶杰平、孙剑、崔鹏、朱占星各2篇，颜水成、文继荣、孙茂松、何晓冬、林宙辰、李国齐、施柏鑫、黄高、李纪为、孙栩、张祥雨各1篇。
以下是智源研究院被接收论文具体列表：
参与论文8篇，位列华人学者Top 3
《Multi-Label Classification: Does Hamming Loss and Subset Accuracy really conflict with each other? 》
Guoqiang Wu (Tsinghua University) · Jun Zhu (Tsinghua University)
《Further Analysis of Outlier Detection with Deep Generative Models》
Ziyu Wang (Tsinghua University) · Bin Dai (Samsung Research China - Beijing) · David P Wipf (Microsoft Research Asia) · Jun Zhu (Tsinghua University)
《Efficient Learning of Generative Models via Finite-Difference Score Matching》
Tianyu Pang (Tsinghua University) · Taufik Xu (Tsinghua University) · Chongxuan LI (Tsinghua University) · Yang Song (Stanford University) · Stefano Ermon (Stanford) · Jun Zhu (Tsinghua University)
《Adversarial Distributional Training for Robust Deep Learning》
Yinpeng Dong (Tsinghua University) · Zhijie Deng (Tsinghua University) · Tianyu Pang (Tsinghua University) · Hang Su (Tsinghua Univiersity) · Jun Zhu (Tsinghua University)
《Bi-level Score Matching for Learning Energy-based Latent Variable Models》
Fan Bao (Tsinghua University) · Chongxuan LI (Tsinghua University) · Taufik Xu (Tsinghua University) · Hang Su (Tsinghua Univiersity) · Jun Zhu (Tsinghua University) · Bo Zhang (Tsinghua University)
《Boosting Adversarial Training with Hypersphere Embedding》
Tianyu Pang (Tsinghua University) · Xiao Yang (Tsinghua University) · Yinpeng Dong (Tsinghua University) · Taufik Xu (Tsinghua University) · Hang Su (Tsinghua Univiersity) · Jun Zhu (Tsinghua University)
《Calibrated Reliable Regression using MaXimum Mean Discrepancy》
Peng Cui (Tsinghua University) · Wenbo Hu (Tsinghua University) · Jun Zhu (Tsinghua University)
《Understanding and Exploring the Network with Stochastic Architectures》
Zhijie Deng (Tsinghua University) · Yinpeng Dong (Tsinghua University) · Shifeng Zhang (Department of Computer Science and Technology, Tsinghua University) · Jun Zhu (Tsinghua University)
参与论文4篇：
《Locally Differentially Private (Contextual) Bandits Learning》
Kai Zheng (Kuaishou) · Tianle Cai (Peking University) · Weiran Huang (Noah's Ark Lab) · Zhenguo Li (Noah's Ark Lab, Huawei Tech Investment Co Ltd) · Liwei Wang (Peking University)
《RepPoints v2: Verification Meets Regression for Object Detection》
Yihong Chen (Peking University) · Zheng Zhang (MSRA) · Yue Cao (Microsoft Research) · Liwei Wang (Peking University) · Stephen Lin (Microsoft Research) · Han Hu (Microsoft Research Asia)
《Improved Analysis of Clipping Algorithms for Non-convex Optimization》
Bohang Zhang (Peking University) · Jikai Jin (Peking University) · Cong Fang (Peking University) · Liwei Wang (Peking University)
《Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot》
Jingtong Su (Peking University) · Yihang Chen (Peking University) · Tianle Cai (Peking University) · Tianhao Wu (Peking University) · Ruiqi Gao (Peking University) · Liwei Wang (Peking University) · Jason Lee (Princeton University)
参与论文3篇：
《Concentration Bounds for Co-occurrence Matrices of Markov Chains》
Jiezhong Qiu (Tsinghua University) · Chi Wang (Microsoft Research) · Ben Liao (Tencent) · Richard Peng (Georgia Tech) · Jie Tang (Tsinghua University)
《CogLTX: Applying BERT to Long Texts》
Ming Ding (Tsinghua University) · Chang Zhou (Alibaba Group) · HongXia Yang (Alibaba Group) · Jie Tang (Tsinghua University)
《Graph Random Neural Networks for Semi-Supervised Learning on Graphs》
Wenzheng Feng (Tsinghua University) · Jie Zhang (Webank Co.,Ltd) · YuXiao Dong (Microsoft) · Yu Han (Tsinghua University) · Huanbo Luan (Tsinghua University) · Qian Xu (WeBank) · Qiang Yang (WeBank and HKUST) · Evgeny Kharlamov (Bosch Center for Artificial Intelligence) · Jie Tang (Tsinghua University)
参与论文2篇：
《Learning Individually Inferred Communication for Multi-Agent Cooperation》
Ziluo Ding (Peking University) · Tiejun Huang (Peking University) · Zongqing Lu (Peking University)
《UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging》
Chu Zhou (Peking University) · Hang Zhao (MIT) · Jin Han (Peking University) · Chang Xu (University of Sydney) · Chao Xu (Peking University) · Tiejun Huang (Peking University) · BoXin Shi (Peking University)
参与论文2篇：
《Agree to Disagree: Adaptive Ensemble Knowledge Distillation in Gradient Space》
Shangchen Du (SenseTime) · Shan You (SenseTime) · Xiaojie Li (sensetime) · Jianlong Wu (Shandong University) · Fei Wang (SenseTime) · Chen Qian (SenseTime) · Changshui Zhang (Tsinghua University)
《When Counterpoint Meets Chinese Folk Melodies》
Nan Jiang (Tsinghua University) · Sheng Jin (Tsinghua University) · Zhiyao Duan (Unversity of Rochester) · Changshui Zhang (Tsinghua University)
参与论文2篇：
《Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control》
Zhiyuan Xu (Syracuse University) · Kun Wu (Syracuse University) · Zhengping Che (DiDi AI Labs, Didi ChuXing) · Jian Tang (DiDi AI Labs, DiDi ChuXing) · Jieping Ye (Didi ChuXing)
《Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss》
Shuang Qiu (University of Michigan) · Xiaohan Wei (University of Southern California) · Zhuoran Yang (Princeton) · Jieping Ye (University of Michigan) · Zhaoran Wang (Northwestern University)
参与论文2篇：
《Fine-Grained Dynamic Head for Object Detection》
Lin Song (Xi'an Jiaotong University) · Yanwei Li (The Chinese University of Hong Kong) · Zhengkai Jiang (Institute of Automation，Chinese Academy of Sciences) · Zeming Li (Megvii(Face++) Inc) · Hongbin Sun (Xi'an Jiaotong University) · Jian Sun (Megvii, Face++) · Nanning Zheng (Xi'an Jiaotong University)
《Rethinking Learnable Tree Filter for Generic Feature Transform》
Lin Song (Xi'an Jiaotong University) · Yanwei Li (The Chinese University of Hong Kong) · Zhengkai Jiang (Institute of Automation，Chinese Academy of Sciences) · Zeming Li (Megvii(Face++) Inc) · Xiangyu Zhang (MEGVII Technology) · Hongbin Sun (Xi'an Jiaotong University) · Jian Sun (Megvii, Face++)/孙剑 · Nanning Zheng (Xi'an Jiaotong University)
参与论文2篇：
《Calibrated Reliable Regression using MaXimum Mean Discrepancy》
Peng Cui (Tsinghua University) · Wenbo Hu (Tsinghua University) · Jun Zhu (Tsinghua University)
《Counterfactual Prediction for Bundle Treatment》
Hao Zou (Tsinghua University) · Peng Cui (Tsinghua University) · Bo Li (Tsinghua University) · Zheyan Shen (Tsinghua University) · JianXin Ma (Alibaba Group) · HongXia Yang (Alibaba Group) · Yue He (Tsinghua University)
参与论文2篇：
《Knowledge Distillation in Wide Neural Networks: Risk Bound, Data Efficiency and Imperfect Teacher》
Guangda Ji (Peking University) · ZhanXing Zhu (Peking University)
《Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework》
Dinghuai Zhang (Peking University) · Mao Ye (The University of Texas at Austin) · Chengyue Gong (Peking University) · ZhanXing Zhu (Peking University) · Qiang Liu (UT Austin)
参与论文：
《ConvBERT: Improving BERT with Span-based Dynamic Convolution》
Zi-Hang Jiang (National University of Singapore) · Weihao Yu (National University of Singapore) · Daquan Zhou (National University of Singapore) · Yunpeng Chen (Yitu Technology) · Jiashi Feng (National University of Singapore) · Shuicheng Yan (National University of Singapore)
参与论文：
《Scalable Graph Neural Networks via Bidirectional Propagation》
Ming Chen (Renmin University of China) · Zhewei Wei (Renmin University of China) · Bolin Ding ("Data Analytics and Intelligence Lab, Alibaba Group") · Yaliang Li (Alibaba Group) · Ye Yuan ( Beijing Institute of Technology) · Xiaoyong Du (Renmin University of China) · Ji-Rong Wen (Renmin University of China)
参与论文：
《Towards Interpretable Natural Language Understanding with Explanations as Latent Variables》
Wangchunshu Zhou (Beihang University) · Jinyi Hu (Tsinghua University) · Hanlin Zhang (South China University of Technology) · Xiaodan Liang (Sun Yat-sen University) · Maosong Sun (Tsinghua University) · Chenyan Xiong (Microsoft Research AI) · Jian Tang (Mila)
参与论文：
《Group Contextual Encoding for 3D Point Clouds》
Xu Liu (The University of Tokyo) · Chengtao Li (MIT) · Jian Wang (Carnegie Mellon University) · Jingbo Wang (Peking University) · BoXin Shi (Peking University) · Xiaodong He (JD AI research)
参与论文：
《ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding》
Yibo Yang (Peking University) · Hongyang Li (Peking University) · Shan You (SenseTime) · Fei Wang (SenseTime) · Chen Qian (SenseTime) · Zhouchen Lin (Peking University)
参与论文：
《Restoring Negative Information in Few-Shot Object Detection》
Yukuan Yang (Tsinghua University) · Fangyun Wei (Microsoft Research Asia) · Miaojing Shi (King's College London) · Guoqi Li (Tsinghua University)
参与论文：
《UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging》
Chu Zhou (Peking University) · Hang Zhao (MIT) · Jin Han (Peking University) · Chang Xu (University of Sydney) · Chao Xu (Peking University) · Tiejun Huang (Peking University) · BoXin Shi (Peking University)
参与论文：
《Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification》
Yulin Wang (Tsinghua University) · Kangchen Lv (Tsinghua University) · Rui Huang (Tsinghua University) · Shiji Song (Department of Automation, Tsinghua University) · Le Yang (Tsinghua University) · Gao Huang (Tsinghua)
参与论文：
《SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection》
Xiaoya Li (Shannon.AI) · YuXian Meng (Shannon.AI) · MingXin Zhou (Shannon.AI) · Qinghong Han (Shannon.AI) · Fei Wu (Zhejiang University) · Jiwei Li (Shannon.AI)
参与论文：
《Prophet Attention: Predicting Attention with Future Attention for Improved Image Captioning》
Fenglin Liu (Peking University) · Xuancheng Ren (Peking University) · Xian Wu (Tencent Medical AI Lab) · Shen Ge (Tencent Medical AI Lab) · Wei Fan (Tencent) · YueXian Zou (Peking University) · Xu Sun (Peking University)
参与论文：
《Rethinking Learnable Tree Filter for Generic Feature Transform》
Lin Song (Xi'an Jiaotong University) · Yanwei Li (The Chinese University of Hong Kong) · Zhengkai Jiang (Institute of Automation，Chinese Academy of Sciences) · Zeming Li (Megvii(Face++) Inc) · Xiangyu Zhang (MEGVII Technology) · Hongbin Sun (Xi'an Jiaotong University) · Jian Sun (Megvii, Face++) · Nanning Zheng (Xi'an Jiaotong University)
据统计，本次NeurIPS 2020论文全球接收量排名前十的机构依次为：
1. 谷歌：169篇
2. 斯坦福大学：104篇
3. 麻省理工大学：98篇
4. 微软：93篇
5. 加州伯克利分校：90篇
6. 卡纳基梅隆大学：61篇
7. 清华大学：63篇
8. 普林斯顿大学：83篇
9. 牛津大学：56篇
10. Facebook：52篇
其中，清华大学收文63篇，居国内机构第一。其余国内榜高位机构还包括北京大学、香港大学、上海交通大学等高校，以及腾讯、阿里巴巴、华为等企业。此次智源研究院被接收论文达35篇，国内排名第三：
完整列表详见：
https://neurips.cc/Conferences/2020/AcceptedPapersInitial
