Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

81 Results

<<   <   Page 2 of 7   >   >>
Poster
Tue 14:00 Learning with convolution and pooling operations in kernel methods
Theodor Misiakiewicz · Song Mei
Poster
Inception Transformer
Chenyang Si · Weihao Yu · Pan Zhou · Yichen Zhou · Xinchao Wang · Shuicheng Yan
Panel
Wed 17:15 Panel 4B-1: Convolutional Neural Networks… & Uncovering the Structural…
Ruijia Wang · Mingguo He
Poster
Wed 14:00 Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
Surbhi Goel · Sham Kakade · Adam Kalai · Cyril Zhang
Poster
Tue 9:00 Revisiting Sparse Convolutional Model for Visual Recognition
xili dai · Mingyang Li · Pengyuan Zhai · Shengbang Tong · Xingjian Gao · Shao-Lun Huang · Zhihui Zhu · Chong You · Yi Ma
Poster
Tue 14:00 Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional Networks
Renan A. Rojas-Gomez · Teck-Yian Lim · Alex Schwing · Minh Do · Raymond A. Yeh
Poster
Tue 9:00 The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Peter Kocsis · Peter Súkeník · Guillem Braso · Matthias Niessner · Laura Leal-Taixé · Ismail Elezi
Poster
Wed 9:00 Focal Modulation Networks
Jianwei Yang · Chunyuan Li · Xiyang Dai · Jianfeng Gao
Poster
Tue 14:00 Pseudo-Riemannian Graph Convolutional Networks
Bo Xiong · Shichao Zhu · Nico Potyka · Shirui Pan · Chuan Zhou · Steffen Staab
Poster
Wed 9:00 MCMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao · Teli Ma · Hongsheng Li · Ziyi Lin · Jifeng Dai · Yu Qiao
Poster
DropCov: A Simple yet Effective Method for Improving Deep Architectures
Qilong Wang · Mingze Gao · Zhaolin Zhang · Jiangtao Xie · Peihua Li · Qinghua Hu
Poster
Tue 9:00 A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking
Keyu Duan · Zirui Liu · Peihao Wang · Wenqing Zheng · Kaixiong Zhou · Tianlong Chen · Xia Hu · Zhangyang Wang