ICLR 2023 Workshop DG Submissions

Necessary and Sufficient Hypothesis of Curvature: Understanding Connection Between Out-of-Distribution Generalization and Calibration
Hiroki Naganuma, Masanari Kimura
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
A Simple Test-time Adaptation Method for Source-free Domain Generalization
Vaasudev Narayanan, Sai Srinivas Kancheti, Sriranjani Ramakrishnan, Vineeth N. Balasubramanian
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Avoiding Catastrophic Referral Failures In Medical Images Under Domain Shift
Anuj Srivastava, Pradeep Shenoy, Devarajan Sridharan
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Oral
- Readers: Everyone
On Pitfalls of Test-Time Adaptation
Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Masked Audio Text Encoders are Effective Few-shot Rescorers
Jinglun Cai, Monica Sunkara, Xilai Li, Anshu Bhatia, Xiao Pan, Sravan Bodapati
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
Dylan Cope, Nandi Schoots
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Oral
- Readers: Everyone
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology
Rao Muhammad Umer, Armin Gruber, Ali Boushehri, Christian Matek, Carsten Marr
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Equivariant MuZero
Andreea Deac, Theophane Weber, George Papamakarios
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Oral
- Readers: Everyone
Back Translation Variational Autoencoders for OOD generation
Frantzeska Lavda, Alexandros Kalousis
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Signal Is Harder To Learn Than Bias: Debiasing with Focal Loss
Moritz Vandenhirtz, Laura Manduchi, Ričards Marcinkevičs, Julia E Vogt
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
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
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Oral
- Readers: Everyone
Fully Neural-Based Out-of-Distribution Detection for Temporal Point Processes
Rafael Lima, Chris Solomou
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Implicit Stylization for Domain Adaptation
Jinman Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Adversarially Self-Supervised Pre-training Improves Accuracy and Robustness
Sylvestre-Alvise Rebuffi, Olivia Wiles, Evan Shelhamer, Sven Gowal
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Object Detection with OOD Generalizable Neural Architecture Search
Fan Wu, Kaican Li, Jinling Gao, Chensheng Peng, Lanqing HONG, Enze Xie, Zhenguo Li, Nanyang Ye
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Variational Pseudo Labeling for Test Time Domain Generalization
Sameer Ambekar, Zehao Xiao, Jiayi Shen, Xiantong Zhen, Cees G. M. Snoek
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Rethinking Invariant Graph Representation Learning without Environment Partitions
Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Understanding and Improving Feature Learning for Out-of-Distribution Generalization
Yongqiang Chen, Wei Huang, Kaiwen Zhou, Yatao Bian, Bo Han, James Cheng
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
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
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Model Ratatouille: Recycling Diverse Models for Out-of-Distribution Generalization
Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
ASPEST: Bridging the Gap Between Active Learning and Selective Prediction
Jiefeng Chen, Jinsung Yoon, Sayna Ebrahimi, Sercan O Arik, Somesh Jha, Tomas Pfister
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone
Identifying Challenges for Generalizing to the Pearl Causal Hierarchy on Images
Matej Zečević, Moritz Willig, Devendra Singh Dhami, Kristian Kersting
- Published: 10 Mar 2023, Last Modified: 28 Apr 2023
- ICLR 2023 Workshop DG Poster
- Readers: Everyone