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Reprinted in: Neural, Expertise
NeurIPS2021, the top machine learning deep learning conference, received papers and announced!
NeurIPS2021 officially released the list of accepted papers today, 9122 papers were submitted and 2344 papers were accepted, with an acceptance rate of 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)
For more, please visit:
https://nips.cc/Conferences/2021/AcceptedPapersInitial
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