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机器学习深度学习顶会NeurIPS2021接收论文公布！
NeurIPS2021官方今日发布接收论文列表，9122篇论文提交有2344篇论文接受，接受率26%.
Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks
Yuhang Li (Yale University) · (None) · Shanghang Zhang (Carnegie Mellon University) · Shikuang Deng (University of Electronic Science and Technology of China) · Yongqing Hai (Peking University) · Shi Gu (University of Electronic Science and Technology of China)
Temporal-attentive Covariance Pooling Networks for Video Recognition
Zilin Gao (Dalian University of Technology) · Qilong Wang (Tianjin University) · Bingbing Zhang (Dalian University of Technology) · Qinghua Hu (Tianjin University) · Peihua Li (Dalian University of Technology)
Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence
Xue Yang (Shanghai Jiao Tong University) · Xiaojiang Yang (Shanghai Jiao Tong University) · Jirui Yang (Alibaba Group) · Qi Ming (beijing institute of technology) · Wentao Wang (Shanghai Jiao Tong University) · Qi Tian (Huawei Noah’s Ark Lab) · Junchi Yan (Shanghai Jiao Tong University)
An Empirical Study of Adder Neural Networks for Object Detection
(None) · Chang Xu (The University of Sydney) · Minjing Dong (University of Sydney) · Chunjing XU (Huawei Technologies) · Yunhe Wang (Huawei Noah's Ark Lab)
Differentiable Simulation of Soft Multi-body Systems
Yiling Qiao (University of Maryland, College Park) · Junbang Liang (University of Maryland, College Park) · Vladlen Koltun (Apple) · Ming Lin (University of Maryland - College Park)
Unsupervised Motion Representation Learning with Capsule Autoencoders
Ziwei Xu (National University of Singapore) · Xudong Shen (National University of Singapore) · Yongkang Wong (National University of Singapore) · Mohan Kankanhalli (National University of Singapore,)
Learning Frequency Domain Approximation for Binary Neural Networks
Yixing Xu (Huawei Noah's Ark Lab) · Kai Han (Huawei Noah's Ark Lab) · Chang Xu (The University of Sydney) · Yehui Tang (Peking University) · Chunjing XU (Huawei Technologies) · Yunhe Wang (Huawei Noah's Ark Lab)
Joint Semantic Mining for Weakly Supervised RGB-D Salient Object Detection
Jingjing Li (University of Alberta) · Wei Ji (University of Alberta) · Qi Bi (University of Amsterdam) · Cheng Yan (Beihang University) · Miao Zhang (Dalian University of Technology) · Yongri Piao (Dalian University of Technology) · Huchuan Lu (Dalian University of Technology) · Li cheng (University of Alberta)
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Lei Ke (The Hong Kong University of Science and Technology) · Xia Li (Peking University) · Martin Danelljan (ETH Zurich) · Yu-Wing Tai (Kuaishou Technology) · Chi-Keung Tang (The Hong Kong University of Science and Technology) · Fisher Yu (ETH Zurich)
Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo (Carnegie Mellon University) · Ryo Hachiuma (Keio University) · Ye Yuan (Carnegie Mellon University) · Kris Kitani (Carnegie Mellon University)
GENESIS-V2: Inferring Unordered Object Representations without Iterative Refinement
(None) · Oiwi Parker Jones (University of Oxford) · Ingmar Posner (Oxford University)
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning
Tao Yu (USTC) · Cuiling Lan (Microsoft) · Wenjun Zeng (Microsoft) · Mingxiao Feng (University of Science and Technology of China) · Zhizheng Zhang (University of Science and Technology of China) · Zhibo Chen (University of Science and Technology of China)
Compressed Video Contrastive Learning
Yuqi Huo (Renmin University of China) · Mingyu Ding (The University of Hong Kong) · Haoyu Lu (Renmin University of China) · Nanyi Fei (Renmin University of China) · Zhiwu Lu (Renmin University of China) · Ji-Rong Wen (Renmin University of China) · Ping Luo (The Chinese University of Hong Kong)
Improved Transformer for High-Resolution GANs
Long Zhao (Rutgers University) · Zizhao Zhang (Google) · Ting Chen (Google Brain) · Dimitris Metaxas (Rutgers University) · Han Zhang (Google)
Overcoming the Convex Barrier for Simplex Inputs
Harkirat Singh Behl (University of Oxford) · M. Pawan Kumar (Ecole Centrale Paris) · Philip Torr (University of Oxford) · Krishnamurthy Dvijotham (DeepMind)
Post-Training Quantization for Vision Transformer
Zhenhua Liu (Peking University) · Yunhe Wang (Huawei Noah's Ark Lab) · Kai Han (Huawei Noah's Ark Lab) · Wei Zhang (Noah's Ark Lab, Huawei Inc.) · Siwei Ma (Peking University) · Wen Gao (peking university)
FACMAC: Factored Multi-Agent Centralised Policy Gradients
Bei Peng (University of Oxford) · Tabish Rashid (University of Oxford) · Christian Schroeder de Witt (University of Oxford) · Pierre-Alexandre Kamienny (Facebook AI Research) · Philip Torr (University of Oxford) · Wendelin Boehmer (University of Oxford) · Shimon Whiteson (University of Oxford)
Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing
Yan-Bo Lin (National Chiao Tung University) · Hung-Yu Tseng (Facebook) · Hsin-Ying Lee (University of California, Merced) · Yen-Yu Lin (National Chiao Tung University) · Ming-Hsuan Yang (Google / UC Merced)
OctField: Hierarchical Implicit Functions for 3D Modeling
Jia-Heng Tang (, Chinese Academy of Sciences) · Weikai Chen (USC Institute for Creative Technology) · jie Yang (INstitute of Computing Technology, Chinese Academy of Sciences) · Bo Wang (Tencent America) · Bo Yang (Tencent Game AI Research Center) · (None)
Learning to dehaze with polarization
Chu Zhou (Peking University) · (None) · Yufei Han (Beijing University of Posts and Telecommunications) · Chao Xu (Peking University) · Boxin Shi (Peking University)
更多请访问：
https://nips.cc/Conferences/2021/AcceptedPapersInitial
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