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In-Person Oral presentation / top 25% paper
Tue May 02 01:00 AM -- 01:10 AM (PDT) @ AD1 None
Sign and Basis Invariant Networks for Spectral Graph Representation Learning
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Derek Lim · Joshua Robinson · Lingxiao Zhao · Tess Smidt · Suvrit Sra · Haggai Maron · Stefanie Jegelka
In-Person Oral presentation / top 25% paper
Tue May 02 01:10 AM -- 01:20 AM (PDT) @ AD1 None
ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Yuelin Wang · Kai Yi · Xinliang Liu · Yuguang Wang · Shi Jin
In-Person Oral presentation / top 5% paper
Tue May 02 01:20 AM -- 01:30 AM (PDT) @ AD1 None
Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Kenneth Li · Aspen Hopkins · David Bau · Fernanda Viégas · Hanspeter Pfister · Martin Wattenberg
In-Person Oral presentation / top 25% paper
Tue May 02 01:30 AM -- 01:40 AM (PDT) @ AD1 None
QuAnt: Quantum Annealing with Learnt Couplings
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Marcel Seelbach Benkner · Maximilian Krahn · Edith Tretschk · Zorah Lähner · Michael Moeller · Vladislav Golyanik
In-Person Oral presentation / top 25% paper
Tue May 02 01:40 AM -- 01:50 AM (PDT) @ AD1 None
Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Mansheej Paul · Feng Chen · Brett Larsen · Jonathan Frankle · Surya Ganguli · Gintare Karolina Dziugaite
In-Person Oral presentation / top 25% paper
Tue May 02 01:50 AM -- 02:00 AM (PDT) @ AD1 None
The Asymmetric Maximum Margin Bias of Quasi-Homogeneous Neural Networks
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Daniel Kunin · Atsushi Yamamura · Chao Ma · Surya Ganguli
In-Person Oral presentation / top 5% paper
Tue May 02 02:00 AM -- 02:10 AM (PDT) @ AD1 None
The Lie Derivative for Measuring Learned Equivariance
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Nate Gruver · Marc A Finzi · Micah Goldblum · Andrew Wilson
In-Person Oral presentation / top 25% paper
Tue May 02 02:10 AM -- 02:20 AM (PDT) @ AD1 None
Training language models to summarize narratives improves brain alignment
In Oral 3 Track 5: Deep Learning and representational learning & Neuroscience and Cognitive Science
Khai Loong Aw · Mariya Toneva