domain generalization

Meta Distribution Alignment for Generalizable Person Re-Identification CVPR 2022 Meta Learning for Natural Language Processing: A Survey NAACL 2022 MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts ICLR 2022 MIM-DG: Mutual information minimization-based domain generalization for speaker verification Interspeech 2022 Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization NeurIPS 2022 mToFNet: Object Anti-Spoofing With Mobile Time-of-Flight Data WACV 2022 Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization NeurIPS 2022 Network Generalization Prediction for Safety Critical Tasks in Novel Operating Domains WACV 2022 No One Representation to Rule Them All: Overlapping Features of Training Methods ICLR 2022 Not to Overfit or Underfit the Source Domains? An Empirical Study of Domain Generalization in Question Answering EMNLP 2022 Offline Reinforcement Learning for Visual Navigation CoRL 2022 Okapi: Generalising Better by Making Statistical Matches Match NeurIPS 2022 On Feature Learning in the Presence of Spurious Correlations NeurIPS 2022 On the effectiveness of adversarial training against common corruptions UAI 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 Optimizing Relevance Maps of Vision Transformers Improves Robustness NeurIPS 2022 OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift MIDL 2022 OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training NeurIPS 2022 Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations ICLR 2022 Out-of-Distribution Generalization With Causal Invariant Transformations CVPR 2022 PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition CVPR 2022 PCL: Proxy-Based Contrastive Learning for Domain Generalization CVPR 2022 Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning ICML 2022 Perturbations and Subpopulations for Testing Robustness in Token-Based Argument Unit Recognition COLING 2022 Pin the Memory: Learning To Generalize Semantic Segmentation CVPR 2022