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Workshop
Invariance & Causal Representation Learning: Prospects and Limitations
Simon Bing · Jonas Wahl · Urmi Ninad · Jakob Runge
Poster
Tue 15:15 On the Importance of Feature Separability in Predicting Out-Of-Distribution Error
RENCHUNZI XIE · Hongxin Wei · Lei Feng · Yuzhou Cao · Bo An
Poster
Wed 15:00 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
Chao Chen · Zhihang Fu · Kai Liu · Ze Chen · Mingyuan Tao · Jieping Ye
Workshop
Human-in-the-Loop Out-of-Distribution Detection with False Positive Rate Control
Harit Vishwakarma · Heguang Lin · Ramya Korlakai Vinayak
Workshop
Characterizing Out-of-Distribution Error via Optimal Transport
Yuzhe Lu · Yilong Qin · Runtian Zhai · Andrew Shen · Ketong Chen · Zhenlin Wang · Soheil Kolouri · Simon Stepputtis · Joseph Campbell · Katia Sycara
Workshop
Causal Influence Aware Counterfactual Data Augmentation
Núria Armengol Urpí · Georg Martius
Poster
Tue 15:15 Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Haotian Zheng · Qizhou Wang · Zhen Fang · Xiaobo Xia · Feng Liu · Tongliang Liu · Bo Han
Workshop
Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter
Workshop
Fri 13:30 Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann · Simon Schmid · Bernhard Lehner · Daniel Klotz · Sepp Hochreiter
Workshop
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
Annie Chen · Govind Chada · Laura Smith · Archit Sharma · Zipeng Fu · Sergey Levine · Chelsea Finn
Poster
Wed 15:00 Characterizing Out-of-Distribution Error via Optimal Transport
Yuzhe Lu · Yilong Qin · Runtian Zhai · Andrew Shen · Ketong Chen · Zhenlin Wang · Soheil Kolouri · Simon Stepputtis · Joseph Campbell · Katia Sycara
Poster
Wed 8:45 CADet: Fully Self-Supervised Out-Of-Distribution Detection With Contrastive Learning
Charles Guille-Escuret · Pau Rodriguez · David Vazquez · Ioannis Mitliagkas · Joao Monteiro