Search All 2022 Events
 

14 Results

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Poster
Wed 9:00 Adversarial Reprogramming Revisited
Matthias Englert · Ranko Lazic
Poster
Thu 14:00 On Margin Maximization in Linear and ReLU Networks
Gal Vardi · Ohad Shamir · Nati Srebro
Poster
Wed 14:00 Vision Transformers provably learn spatial structure
Samy Jelassi · Michael Sander · Yuanzhi Li
Poster
Thu 14:00 Spectral Bias Outside the Training Set for Deep Networks in the Kernel Regime
Benjamin Bowman · Guido Montufar
Poster
Tue 9:00 Gradient Methods Provably Converge to Non-Robust Networks
Gal Vardi · Gilad Yehudai · Ohad Shamir
Workshop
Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability
Alex Damian · Eshaan Nichani · Jason Lee
Poster
Tue 14:00 Reconstructing Training Data From Trained Neural Networks
Niv Haim · Gal Vardi · Gilad Yehudai · Ohad Shamir · Michal Irani
Poster
Wed 14:00 Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent
Zhiyuan Li · Tianhao Wang · Jason Lee · Sanjeev Arora
Workshop
Fri 8:00 Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
Josue Ortega Caro
Poster
Thu 9:00 On the Frequency-bias of Coordinate-MLPs
Sameera Ramasinghe · Lachlan E. MacDonald · Simon Lucey
Poster
Tue 14:00 On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran · Gal Vardi · Jason Lee
Poster
Wed 9:00 Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis · Ganesh Ramachandra Kini · Vala Vakilian · Tina Behnia