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33 Results
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Poster
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Thu 10:30 |
Language-biased image classification: evaluation based on semantic representations Yoann Lemesle · Masataka Sawayama · Guillermo Valle-Perez · Maxime Adolphe · Hélène Sauzéon · Pierre-Yves Oudeyer |
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Poster
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Mon 10:30 |
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua |
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Poster
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Mon 10:30 |
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective Luca Scimeca · Seong Joon Oh · Sanghyuk Chun · Michael Poli · Sangdoo Yun |
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Poster
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Wed 10:30 |
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias Frederic Koehler · Viraj Mehta · Chenghui Zhou · Andrej Risteski |
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Poster
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Mon 10:30 |
The Spectral Bias of Polynomial Neural Networks Moulik Choraria · Leello Dadi · Grigorios Chrysos · Julien Mairal · Volkan Cevher |
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Oral
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Tue 1:15 |
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path X.Y. Han · Vardan Papyan · David Donoho |
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Poster
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Wed 10:30 |
Missingness Bias in Model Debugging Saachi Jain · Hadi Salman · Eric Wong · Pengchuan Zhang · Vibhav Vineet · Sai Vemprala · Aleksander Madry |
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Poster
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Mon 2:30 |
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver · Marc A Finzi · Samuel Stanton · Andrew Wilson |
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Poster
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Mon 2:30 |
On Incorporating Inductive Biases into VAEs Ning Miao · Emile Mathieu · Siddharth N · Yee Whye Teh · Tom Rainforth |
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Spotlight
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Wed 10:30 |
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari · Ehsan Saleh · David Forsyth · Yu-Xiong Wang |
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Poster
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Mon 10:30 |
Stochastic Training is Not Necessary for Generalization Jonas Geiping · Micah Goldblum · Phil Pope · Michael Moeller · Tom Goldstein |
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Spotlight
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Mon 10:30 |
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine · Noam Wies · Daniel Jannai · Dan Navon · Yedid Hoshen · Amnon Shashua |