domain shift

ProS: Prompting-to-simulate Generalized knowledge for Universal Cross-Domain Retrieval CVPR 2024 pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation WACV 2024 Randomized Adversarial Style Perturbations for Domain Generalization WACV 2024 Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments ICLR 2024 Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation IJCAI 2024 ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation ICLR 2024 Rethinking Multi-domain Generalization with A General Learning Objective CVPR 2024 Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation NeurIPS 2024 Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer CVPR 2024 Self-Train Before You Transcribe Interspeech 2024 SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation ICLR 2024 Single Domain Generalization for Crowd Counting CVPR 2024 Symmetric Self-Paced Learning for Domain Generalization AAAI 2024 Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs NeurIPS 2024 Target and task specific source-free domain adaptive image segmentation MIDL 2024 Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024 UFDA: Universal Federated Domain Adaptation with Practical Assumptions AAAI 2024 Unknown Prompt the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization CVPR 2024 Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation ICLR 2024 Unraveling Batch Normalization for Realistic Test-Time Adaptation AAAI 2024 WATT: Weight Average Test Time Adaptation of CLIP NeurIPS 2024 What How and When Should Object Detectors Update in Continually Changing Test Domains? CVPR 2024 Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation AISTATS 2023 Alignment with human representations supports robust few-shot learning NeurIPS 2023