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Workshop
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Sat 19:15
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Contributed Talk 3 - Neural Image Compression: Generalization, Robustness, and Spectral Bias
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Workshop
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Certifying Ensembles: A General Certification Theory with S-Lipschitzness
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Workshop
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Towards Out-of-Distribution Adversarial Robustness
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Workshop
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Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
Bhavya Vasudeva · Kameron Shahabi · Vatsal Sharan
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Workshop
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Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
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Poster
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Tue 14:00
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Robust Subtask Learning for Compositional Generalization
Kishor Jothimurugan · Steve Hsu · Osbert Bastani · Rajeev Alur
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Poster
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Thu 16:30
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Certified Robust Neural Networks: Generalization and Corruption Resistance
Amine Bennouna · Ryan Lucas · Bart Van Parys
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Workshop
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Certifying Ensembles: A General Certification Theory with S-Lipschitzness
Aleksandar Petrov · Francisco Eiras · Amartya Sanyal · Phil Torr · Adel Bibi
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Workshop
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PAC-Bayesian Adversarially Robust Generalization Bounds for Deep Neural Networks
Jiancong Xiao · Ruoyu Sun · Zhi-Quan Luo
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Workshop
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Generalizable Lightweight Proxy for Robust NAS against Diverse Perturbations
Hyeonjeong Ha · Minseon Kim · Sung Ju Hwang
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Workshop
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Neural Image Compression: Generalization, Robustness, and Spectral Biases
Kelsey Lieberman · James Diffenderfer · Charles Godfrey · Bhavya Kailkhura
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