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