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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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Proximal Compositional Optimization for Distributionally Robust Learning
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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
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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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Sat 13:45
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Jia-Jie Zhu: Duality from Gradient Flow Force-Balance to Distributionally Robust Learning
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Workshop
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Learning Exponential Families from Truncated Samples
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Workshop
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Fri 17:25
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Ce Zhang: Optimizing Communications and Data for Distributed and Decentralized Learning
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Poster
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Thu 13:30
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DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning
Tomoya Murata · Taiji Suzuki
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Workshop
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Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models
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Poster
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Thu 13:30
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Learning useful representations for shifting tasks and distributions
Jianyu Zhang · Leon Bottou
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Poster
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Tue 17:00
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Towards Robust Graph Incremental Learning on Evolving Graphs
Junwei Su · Difan Zou · Zijun Zhang · Chuan Wu
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