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Workshop
Paper 18: Uncertainty-aware Vehicle Orientation Estimation for Joint Detection-Prediction Models
Carlos Vallespi · Nemanja Djuric
Workshop
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation
Omer Achrack · Raizy Kellerman · Ouriel Barzilay
Poster
Tue 9:00 Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
Bertrand Charpentier · Daniel Zügner · Stephan Günnemann
Poster
Wed 9:00 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
Weishi Shi · Xujiang Zhao · Feng Chen · Qi Yu
Tutorial
Mon 8:00 (Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning
Dustin Tran · Balaji Lakshminarayanan · Jasper Snoek
Tutorial
Wed 12:00 (Track2) Practical Uncertainty Estimation and Out-of-Distribution Robustness in Deep Learning Q&A
Dustin Tran · Balaji Lakshminarayanan · Jasper Snoek
Poster
Thu 9:00 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Liu · Zi Lin · Shreyas Padhy · Dustin Tran · Tania Bedrax Weiss · Balaji Lakshminarayanan
Workshop
Sat 11:30 Spotlight Talk: Data augmentation strategies to improve reaction yield predictions and estimate uncertainty - Philippe Schwaller, Alain Vaucher, Teodoro Laino and Jean-Louis Reymond
Philippe Schwaller
Poster
Wed 9:00 Regularizing Black-box Models for Improved Interpretability
Gregory Plumb · Maruan Al-Shedivat · Ángel Alexander Cabrera · Adam Perer · Eric Xing · Ameet Talwalkar
Poster
Wed 9:00 Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah · Eric Zhan · Jennifer J Sun · Abhinav Verma · Yisong Yue · Swarat Chaudhuri
Poster
Mon 21:00 Interventional Few-Shot Learning
Zhongqi Yue · Hanwang Zhang · Qianru Sun · Xian-Sheng Hua
Poster
Tue 9:00 Causal Intervention for Weakly-Supervised Semantic Segmentation
Dong Zhang · Hanwang Zhang · Jinhui Tang · Xian-Sheng Hua · Qianru Sun