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Workshop
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High-Robustness, Low-Transferability Fingerprinting of Neural Networks
Siyue Wang
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Workshop
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Sparse Coding Frontend for Robust Neural Networks
Can Bakiskan
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Poster
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Thu 1:00
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Collective Robustness Certificates: Exploiting Interdependence in Graph Neural Networks
Jan Schuchardt · Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann
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Poster
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Mon 17:00
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Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou · Shengjie Wang · Jeff Bilmes
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Poster
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Mon 1:00
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Towards Robust Neural Networks via Close-loop Control
Zhuotong Chen · Qianxiao Li · Zheng Zhang
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Poster
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Mon 1:00
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Does enhanced shape bias improve neural network robustness to common corruptions?
Chaithanya Kumar Mummadi · Ranjitha Subramaniam · Robin Hutmacher · Julien Vitay · Volker Fischer · Jan Hendrik Metzen
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Poster
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Thu 9:00
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Enforcing robust control guarantees within neural network policies
Priya Donti · Melrose Roderick · Mahyar Fazlyab · Zico Kolter
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Workshop
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Non-Singular Adversarial Robustness of Neural Networks
Chia-Yi Hsu · Pin-Yu Chen
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Poster
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Thu 17:00
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Convex Regularization behind Neural Reconstruction
Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly
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Oral
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Thu 0:30
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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Spotlight
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Tue 12:50
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Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
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Poster
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Mon 1:00
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On the Universality of the Double Descent Peak in Ridgeless Regression
David Holzmüller
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