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domain generalization

1,679 papers

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DG

Co-occurring keywords · papers mentioning both

domain adaptation (259) distribution shift (160) transfer learning (154) representation learning (136) out-of-distribution generalization (132) data augmentation (108) semantic segmentation (96) vision-language model (87) zero-shot learning (78) few-shot learning (76)

Papers

Unraveling the Key Components of OOD Generalization via Diversification ICLR 2024 Unveiling Project-Specific Bias in Neural Code Models COLING 2024 URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement Interspeech 2024 ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation ICLR 2024 VietMed: A Dataset and Benchmark for Automatic Speech Recognition of Vietnamese in the Medical Domain COLING 2024 Vision Transformer Neural Architecture Search for Out-of-Distribution Generalization: Benchmark and Insights NeurIPS 2024 Watch Where You Head: A View-Biased Domain Gap in Gait Recognition and Unsupervised Adaptation WACV 2024 WATT: Weight Average Test Time Adaptation of CLIP NeurIPS 2024 Wav2SQL: Direct Generalizable Speech-To-SQL Parsing ACL 2024 Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning AAAI 2024 Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments NeurIPS 2024 WeiPer: OOD Detection using Weight Perturbations of Class Projections NeurIPS 2024 What Does it Take to Generalize SER Model Across Datasets? A Comprehensive Benchmark Interspeech 2024 What Variables Affect Out-of-Distribution Generalization in Pretrained Models? NeurIPS 2024 When Sparse Graph Representation Learning Falls into Domain Shift: Data Augmentation for Cross-Domain Graph Meta-Learning (Student Abstract) AAAI 2024 WikiDO: A New Benchmark Evaluating Cross-Modal Retrieval for Vision-Language Models NeurIPS 2024 WildlifeMapper: Aerial Image Analysis for Multi-Species Detection and Identification CVPR 2024 YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection CVPR 2024 Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning CVPR 2024 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds CVPR 2023 Activate and Reject: Towards Safe Domain Generalization under Category Shift ICCV 2023 AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation ICML 2023 Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects NeurIPS 2023 Adaptive Texture Filtering for Single-Domain Generalized Segmentation AAAI 2023 A Data-Based Perspective on Transfer Learning CVPR 2023