Spotlight Presentations

Morning Session (10AM UTC)

ID	Title	Authors
3	Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization	Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz
5	Understanding and Improving Feature Learning for Out-of-Distribution Generalization	Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
9	Rethinking Invariant Graph Representation Learning without Environment Partitions	Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
10	Variational Pseudo Labeling for Test Time Domain Generalization	Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
11	Object Detection with OOD Generalizable Neural Architecture Search	Fan Wu, Kaican Li, Jinling Gao, Chensheng Peng, Lanqing HONG, Enze Xie, Zhenguo Li, Nanyang Ye
21	Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss	Moritz Vandenhirtz, Laura Manduchi, Ričards Marcinkevičs, Julia E Vogt
28	Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology	Rao Muhammad Umer, Armin Gruber, Ali Boushehri, Christian Matek, Carsten Marr
34	A Simple Test-time Adaptation Method for Source-free Domain Generalization	Vaasudev Narayanan, Sai Srinivas Kancheti, Sriranjani Ramakrishnan, Vineeth N. Balasubramanian
35	Necessary and Sufficient Hypothesis of Curvature: Understanding Connection Between Out-of-Distribution Generalization and Calibration	Hiroki Naganuma, Masanari Kimura

Afternoon Session (3:40PM UTC)

ID	Title	Authors
1	Identifying Challenges for Generalizing to the Pearl Causal Hierarchy on Images	Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
2	ASPEST: Bridging the Gap Between Active Learning and Selective Prediction	Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister
4	Online Continual Learning for Progressive Distribution Shift (OCL-PDS): A Practitioner's Perspective	Runtian Zhai, Stefan Schroedl, Aram Galstyan, Anoop Kumar, Greg Ver Steeg, Pradeep Natarajan
13	Adversarially Self-Supervised Pre-training Improves Accuracy and Robustness	Sylvestre-Alvise Rebuffi, Olivia Wiles, Evan Shelhamer, Sven Gowal
14	Implicit Stylization for Domain Adaptation	Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla
17	Fully Neural-Based Out-of-Distribution Detection for Temporal Point Processes	Rafael Lima, Chris Solomou
22	Back Translation Variational Autoencoders for OOD generation	Frantzeska Lavda, Alexandros Kalousis
30	Masked Audio Text Encoders are Effective Few-shot Rescorers	Jinglun Cai, Monica Sunkara, Xilai Li, Anshu Bhatia, Xiao Pan, Sravan Bodapati
31	On Pitfalls of Test-Time Adaptation	Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin

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