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Poster
Wed 9:00 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network
Giyoung Jeon · Haedong Jeong · Jaesik Choi
Poster
Wed 14:00 ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen · Pushkar Mishra · Luca Franceschi · Pasquale Minervini · Pontus Lars Erik Saito Stenetorp · Sebastian Riedel
Poster
Tue 9:00 UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek · Gernot Fink · Matthias Rottmann
Poster
Thu 9:00 A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
Mingrui Liu · Zhenxun Zhuang · Yunwen Lei · Chunyang Liao
Poster
Wed 14:00 Do Current Multi-Task Optimization Methods in Deep Learning Even Help?
Derrick Xin · Behrooz Ghorbani · Justin Gilmer · Ankush Garg · Orhan Firat
Poster
Tue 9:00 Block-Recurrent Transformers
DeLesley Hutchins · Imanol Schlag · Yuhuai Wu · Ethan Dyer · Behnam Neyshabur
Poster
Tue 14:00 Self-Supervised Learning Through Efference Copies
Franz Scherr · Qinghai Guo · Timoleon Moraitis
Panel
Wed 17:15 Panel 4B-1: Convolutional Neural Networks… & Uncovering the Structural…
Ruijia Wang · Mingguo He
Poster
A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs
Songming Liu · Hao Zhongkai · Chengyang Ying · Hang Su · Jun Zhu · Ze Cheng
Poster
Efficient Graph Similarity Computation with Alignment Regularization
Wei Zhuo · Guang Tan
Poster
Thu 14:00 Long Range Graph Benchmark
Vijay Prakash Dwivedi · Ladislav Rampášek · Michael Galkin · Ali Parviz · Guy Wolf · Anh Tuan Luu · Dominique Beaini
Poster
Thu 9:00 Learning to Compare Nodes in Branch and Bound with Graph Neural Networks
Abdel Ghani Labassi · Didier Chetelat · Andrea Lodi