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Poster
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Tue 8:30 |
Stochastic Online Linear Regression: the Forward Algorithm to Replace Ridge Reda Ouhamma · Odalric-Ambrym Maillard · Vianney Perchet |
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Poster
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Tue 8:30 |
Data Augmentation Can Improve Robustness Sylvestre-Alvise Rebuffi · Sven Gowal · Dan Andrei Calian · Florian Stimberg · Olivia Wiles · Timothy A Mann |
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Poster
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Fri 8:30 |
Exponential Separation between Two Learning Models and Adversarial Robustness Grzegorz Gluch · Ruediger Urbanke |
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Poster
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Tue 8:30 |
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations Yu-Lin Tsai · Chia-Yi Hsu · Chia-Mu Yu · Pin-Yu Chen |
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Poster
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Thu 8:30 |
Representation Learning for Event-based Visuomotor Policies Sai Vemprala · Sami Mian · Ashish Kapoor |
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Poster
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Tue 8:30 |
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu · Jinghui Chen · Deng Cai · Xiaofei He · Quanquan Gu |
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Poster
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Tue 8:30 |
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives Qi Qi · Zhishuai Guo · Yi Xu · Rong Jin · Tianbao Yang |
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Workshop
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Mon 12:45 |
Using ImageNet to Measure Robustness and Uncertainty Dawn Song · Dan Hendrycks |
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Poster
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Tue 8:30 |
Fast Certified Robust Training with Short Warmup Zhouxing Shi · Yihan Wang · Huan Zhang · Jinfeng Yi · Cho-Jui Hsieh |
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Poster
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Tue 8:30 |
Bootstrap Your Object Detector via Mixed Training Mengde Xu · Zheng Zhang · Fangyun Wei · Yutong Lin · Yue Cao · Stephen Lin · Han Hu · Xiang Bai |
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Poster
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Tue 8:30 |
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao · Zhuoran Liu · Martha Larson |
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Workshop
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Mon 9:00 |
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs Avinash Baidya · Joel Dapello · James J DiCarlo · Tiago Marques |