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Poster
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Tue 8:30
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Adversarially robust learning for security-constrained optimal power flow
Priya Donti · Aayushya Agarwal · Neeraj Vijay Bedmutha · Larry Pileggi · J. Zico Kolter
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Poster
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Tue 8:30
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Adversarially Robust Change Point Detection
Mengchu Li · Yi Yu
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Poster
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Tue 8:30
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On the Algorithmic Stability of Adversarial Training
Yue Xing · Qifan Song · Guang Cheng
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Poster
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Wed 16:30
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Deep Self-Dissimilarities as Powerful Visual Fingerprints
Idan Kligvasser · Tamar Shaham · Yuval Bahat · Tomer Michaeli
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Poster
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Tue 16:30
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Visualizing the Emergence of Intermediate Visual Patterns in DNNs
Mingjie Li · Shaobo Wang · Quanshi Zhang
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Poster
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Thu 8:30
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Towards optimally abstaining from prediction with OOD test examples
Adam Kalai · Varun Kanade
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Poster
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Thu 8:30
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Disrupting Deep Uncertainty Estimation Without Harming Accuracy
Ido Galil · Ran El-Yaniv
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Poster
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Wed 0:30
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Graph Adversarial Self-Supervised Learning
Longqi Yang · Liangliang Zhang · Wenjing Yang
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Poster
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Thu 0:30
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On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Shuyu Cheng · Guoqiang Wu · Jun Zhu
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Poster
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Tue 16:30
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A Faster Decentralized Algorithm for Nonconvex Minimax Problems
Wenhan Xian · Feihu Huang · Yanfu Zhang · Heng Huang
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Poster
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Wed 0:30
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Interpreting Representation Quality of DNNs for 3D Point Cloud Processing
Wen Shen · Qihan Ren · Dongrui Liu · Quanshi Zhang
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Poster
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Thu 16:30
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Fast Extra Gradient Methods for Smooth Structured Nonconvex-Nonconcave Minimax Problems
Sucheol Lee · Donghwan Kim
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