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Poster
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Tue 16:30
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Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data
Qi Zhu · Natalia Ponomareva · Jiawei Han · Bryan Perozzi
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Poster
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Wed 0:30
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Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Junho Kim · Byung-Kwan Lee · Yong Man Ro
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Workshop
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Non-Robust Feature Mapping in Deep Reinforcement Learning
Ezgi Korkmaz
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Workshop
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Secure Byzantine-Robust Distributed Learning via Clustering
Raj Kiriti Velicheti · Sanmi Koyejo
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Workshop
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Tue 9:00
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An Automatic Finite-Data Robustness Metric for Bayes and Beyond: Can Dropping a Little Data Change Conclusions?
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Workshop
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Mon 8:00
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Gemma Roig: "Modeling the human brain from invariance and robustness to clutter towards multimodal, multi-task and continuous learning models"
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Workshop
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Tue 5:59
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8:30-9:00 EST Steve Frank - The evolutionary paradox of robustness, genome overwiring, and analogies with deep learning
Steven Frank
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Workshop
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Strength Through Diversity: Robust Behavior Learning via Mixture Policies
Tim Seyde · Wilko Schwarting · Igor Gilitschenski · Markus Wulfmeier · Daniela Rus
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Workshop
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Tue 3:50
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Shifts Challenge: Robustness and Uncertainty under Real-World Distributional Shift
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Workshop
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Benchmarking Robustness to Natural Distribution Shifts for Facial Analysis
Jessica Deuschel · Andreas Foltyn
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Workshop
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Distributionally Robust Group Backwards Compatibility
Martin Bertran · Natalia Martinez · Guillermo Sapiro
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Workshop
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Sharpness-Aware Minimization for Robust Molecular Dynamics Simulations
Hikaru Ibayashi · Ken-ichi Nomura · Pankaj Rajak · Aravind Krishnamoorthy · Aiichiro Nakano
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