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10/23/2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD
Sharpness-Aware Minimization (SAM) has recently emerged as a robust tech...
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02/16/2021
GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
Changes in neural architectures have fostered significant breakthroughs ...
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10/14/2020
Data Augmentation for Meta-Learning
Conventional image classifiers are trained by randomly sampling mini-bat...
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03/14/2020
Certified Defenses for Adversarial Patches
Adversarial patch attacks are among one of the most practical threat mod...
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02/22/2020
Improving the Tightness of Convex Relaxation Bounds for Training Certifiably Robust Classifiers
Convex relaxations are effective for training and certifying neural netw...
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02/17/2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Meta-learning algorithms produce feature extractors which achieve state-...
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11/18/2019
WITCHcraft: Efficient PGD attacks with random step size
State-of-the-art adversarial attacks on neural networks use expensive it...
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08/03/2017
