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domain generalization

1517 papers

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Also known as

DGSS DG SDG

Co-occurring keywords

domain adaptation (4578) transfer learning (5442) distribution shift (711) representation learning (6174) out-of-distribution generalization (403) data augmentation (3037) semantic segmentation (3179) zero-shot learning (3637) vision-language model (2235) few-shot learning (3390)

Papers

An Iterative Self-Learning Framework for Medical Domain Generalization NIPS 2023
Diversify Your Vision Datasets with Automatic Diffusion-based Augmentation NIPS 2023
SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein–Protein Interaction Prediction IJCAI 2023
Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective NIPS 2023
Revealing the unseen: Benchmarking video action recognition under occlusion NIPS 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NIPS 2023
What a MESS: Multi-Domain Evaluation of Zero-Shot Semantic Segmentation NIPS 2023
Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023
Scene-robust Natural Language Video Localization via Learning Domain-invariant Representations ACL 2023
Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning ICCV 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing ICCV 2023
Contrastive Learning of Semantic Concepts for Open-Set Cross-Domain Retrieval WACV 2023
Moderately Distributional Exploration for Domain Generalization ICML 2023
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive Learning AAAI 2023
Conceptual Reinforcement Learning for Language-Conditioned Tasks AAAI 2023
Change is Hard: A Closer Look at Subpopulation Shift ICML 2023
Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features EMNLP 2023
Demystifying Disagreement-on-the-Line in High Dimensions ICML 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting ICML 2023
CODA: Generalizing to Open and Unseen Domains with Compaction and Disambiguation NIPS 2023
Learning Invariant Representations with a Nonparametric Nadaraya-Watson Head NIPS 2023
Evolving Standardization for Continual Domain Generalization over Temporal Drift NIPS 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN EMNLP 2023
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation ICML 2023
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization NIPS 2023