Domain Generalization

Causality Inspired Representation Learning for Domain Generalization CVPR 2022 Causally motivated multi-shortcut identification and removal NeurIPS 2022 Causal Transportability for Visual Recognition CVPR 2022 Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022 Challenges in Procedural Multimodal Machine Comprehension: A Novel Way To Benchmark WACV 2022 Challenges to Open-Domain Constituency Parsing ACL 2022 Chasing the Tail with Domain Generalization: A Case Study on Frequency-Enriched Datasets AACL 2022 Closing the Generalization Gap of Cross-Silo Federated Medical Image Segmentation CVPR 2022 COCOA: Context-Conditional Adaptation for Recognizing Unseen Classes in Unseen Domains WACV 2022 Combining Diverse Feature Priors ICML 2022 Compound Domain Generalization via Meta-Knowledge Encoding CVPR 2022 ConFeSS: A Framework for Single Source Cross-Domain Few-Shot Learning ICLR 2022 Contrastive Adapters for Foundation Model Group Robustness NeurIPS 2022 Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations ICML 2022 Counterfactual Transportability: A Formal Approach ICML 2022 Cross-domain Generalization for AMR Parsing EMNLP 2022 DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision NeurIPS 2022 Data Determines Distributional Robustness in Contrastive Language Image Pre-training (CLIP) ICML 2022 Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-identification AAAI 2022 Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022 Deep Ensembles Work, But Are They Necessary? NeurIPS 2022 Defending Against Image Corruptions Through Adversarial Augmentations ICLR 2022 DeformRS: Certifying Input Deformations with Randomized Smoothing AAAI 2022 Delving Deep Into the Generalization of Vision Transformers Under Distribution Shifts CVPR 2022 Detecting Dissonant Stance in Social Media: The Role of Topic Exposure EMNLP 2022