NeurIPS 2021

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397 Results

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