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Workshop
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Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
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Workshop
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Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
Suraj Srinivas · Sebastian Bordt · Himabindu Lakkaraju
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Affinity Workshop
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Mon 14:10
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1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
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Poster
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Thu 16:30
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Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
Arman Rahbar · Ashkan Panahi · Morteza Haghir Chehreghani · Devdatt Dubhashi · Hamid Krim
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Affinity Workshop
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Mon 19:15
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1-Path-Norm Regularization of Deep Neural Networks
Fabian Latorre · Antoine Bonnet · Paul Rolland · Nadav Hallak · Volkan Cevher
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Workshop
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Sat 13:05
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Jaeyeon Kim: Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
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Workshop
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Regularizing Model Gradients with Concepts to Improve Robustness to Spurious Correlations
Yiwei Yang · Anthony Liu · Robert Wolfe · Aylin Caliskan · Bill Howe
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Poster
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Tue 14:00
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The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
Lei Wu · Weijie Su
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Workshop
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Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value
Jaeyeon Kim · Asuman Ozdaglar · Chanwoo Park · Ernest Ryu
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Poster
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Wed 14:00
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Understanding Gradient Regularization in Deep Learning: Efficient Finite-Difference Computation and Implicit Bias
Ryo Karakida · Tomoumi Takase · Tomohiro Hayase · Kazuki Osawa
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