firstbacksecondback
279 Results
|
Poster
|
Deep Ensembles for Graphs with Higher-order Dependencies Steven Krieg · William Burgis · Patrick Soga · Nitesh Chawla |
||
|
Poster
|
Wed 2:30 |
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu · Yiting Chen · Chenxiao Yang · Junchi Yan |
|
|
Oral
|
Mon 1:50 |
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao · Tess Smidt |
|
|
Poster
|
Mon 2:30 |
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs Yi-Lun Liao · Tess Smidt |
|
|
Poster
|
Tue 7:30 |
A Unified Framework for Soft Threshold Pruning Yanqi Chen · Zhengyu Ma · Wei Fang · Xiawu Zheng · Zhaofei Yu · Yonghong Tian |
|
|
Poster
|
Understanding Train-Validation Split in Meta-Learning with Neural Networks Xinzhe Zuo · Zixiang Chen · Huaxiu Yao · Yuan Cao · Quanquan Gu |
||
|
Oral
|
Mon 1:40 |
Neural Networks and the Chomsky Hierarchy Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega |
|
|
Poster
|
Tue 7:30 |
A Graph Neural Network Approach to Automated Model Building in Cryo-EM Maps Kiarash Jamali · Dari Kimanius · Sjors Scheres |
|
|
Poster
|
Mon 2:30 |
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu · Tianlong Chen · Zhenyu Zhang · Xuxi Chen · Tianjin Huang · AJAY JAISWAL · Zhangyang Wang |
|
|
Poster
|
Tue 2:30 |
Agent-based Graph Neural Networks Karolis Martinkus · Pál András Papp · Benedikt Schesch · Roger Wattenhofer |
|
|
Poster
|
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks Xiaoqi Wang · Han Wei Shen |
||
|
Oral
|
Mon 1:00 |
Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! Shiwei Liu · Tianlong Chen · Zhenyu Zhang · Xuxi Chen · Tianjin Huang · AJAY JAISWAL · Zhangyang Wang |