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Workshop
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Towards Out-of-Distribution Adversarial Robustness
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Workshop
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Robust Deep Learning via Layerwise Tilted Exponentials
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
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Workshop
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RODEO: Robust Out-of-distribution Detection via Exposing Adaptive Outliers
Hossein Mirzaei · Mohammad Jafari · Hamid Reza Dehbashi · Ali Ansari · Sepehr Ghobadi · Masoud Hadi · Arshia Soltani Moakhar · Mohammad Azizmalayeri · Mahdieh Soleymani Baghshah · Mohammad H Rohban
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Workshop
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Robust Deep Learning via Layerwise Tilted Exponentials
Bhagyashree Puranik · Ahmad Beirami · Yao Qin · Upamanyu Madhow
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Workshop
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Towards Out-of-Distribution Adversarial Robustness
Adam Ibrahim · Charles Guille-Escuret · Ioannis Mitliagkas · Irina Rish · David Krueger · Pouya Bashivan
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Poster
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Tue 14:00
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Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
Sicheng Zhu · Bang An · Furong Huang · Sanghyun Hong
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Workshop
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Proximal Compositional Optimization for Distributionally Robust Learning
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Workshop
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Nonlinear Wasserstein Distributionally Robust Optimal Control
Zhengang Zhong · Jia-Jie Zhu
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Poster
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Thu 16:30
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Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
Dixian Zhu · Yiming Ying · Tianbao Yang
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Workshop
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Sat 13:45
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Jia-Jie Zhu: Duality from Gradient Flow Force-Balance to Distributionally Robust Learning
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Poster
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Wed 17:00
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On the Privacy-Robustness-Utility Trilemma in Distributed Learning
Youssef Allouah · Rachid Guerraoui · Nirupam Gupta · Rafael Pinot · John Stephan
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