NeurIPS 2022

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26 Results

Workshop		Disentangled Uncertainty and Out of Distribution Detection in Medical Generative Models Kumud Lakara · Matias Valdenegro-Toro
Affinity Workshop		Estimating Uncertainty in Safety-Critical Deep Learning Models Oishi Deb
Workshop		Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification Christopher Nielsen · Nils Daniel Forkert
Workshop		Exploring the Relationship Between Model Prediction Uncertainty and Gradient Inversion Attack Vulnerability for Federated Learning-Based Diabetic Retinopathy Grade Classification Christopher Nielsen · Nils Daniel Forkert
Workshop		Quantifying Uncertainty in Foundation Models via Ensembles Meiqi Sun · Wilson Yan · Pieter Abbeel · Igor Mordatch
Poster	Wed 9:00	Implications of Model Indeterminacy for Explanations of Automated Decisions Marc-Etienne Brunet · Ashton Anderson · Richard Zemel
Workshop		Uncertainty-aware predictive modeling for fair data-driven decisions Patrick Kaiser · Christoph Kern · David Rügamer
Workshop	Sat 11:00	Contingency Planning with Learned Models of Behavioral and Perceptual Uncertainty Nicholas Rhinehart
Poster	Thu 14:00	Ambiguous Images With Human Judgments for Robust Visual Event Classification Kate Sanders · Reno Kriz · Anqi Liu · Benjamin Van Durme
Workshop		But Are You Sure? Quantifying Uncertainty in Model Explanations Charles Marx · Youngsuk Park · Hilaf Hasson · Yuyang (Bernie) Wang · Stefano Ermon · Chaitanya Baru
Poster	Tue 9:00	Uncertainty Estimation Using Riemannian Model Dynamics for Offline Reinforcement Learning Guy Tennenholtz · Shie Mannor
Affinity Workshop		Explaining Predictive Uncertainty by Looking Back at Model Explanations Hanjie Chen · Wanyu Du · Yangfeng Ji