Oral Presentations

ID Title Authors
18 Model Pareto Invariant Risk Minimization: Towards Mitigating The Optimization Dilemma in Out-of-Distribution Generalization Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, MA KAILI, Han Yang, Peilin Zhao, Bo Han, James Cheng
24 Equivariant MuZero Andreea Deac, Theophane Weber, George Papamakarios
29 Low-Entropy Latent Variables Hurt Out-of-Distribution Performance Dylan Cope, Nandi Schoots
32 Avoiding Catastrophic Referral Failures In Medical Images Under Domain Shift Anuj Srivastava, Pradeep Shenoy, Devarajan Sridharan

Spotlight Presentations

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
3 Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz
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
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
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
21 Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss Moritz Vandenhirtz, Laura Manduchi, Ričards Marcinkevičs, Julia E Vogt
22 Back Translation Variational Autoencoders for OOD generation Frantzeska Lavda, Alexandros Kalousis
28 Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology Rao Muhammad Umer, Armin Gruber, Ali Boushehri, Christian Matek, Carsten Marr
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
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