domain shift

Evaluating Deep Speaker Embedding Robustness to Domain, Sampling Rate, and Codec Variations Interspeech 2025 Examining Test-Time Adaptation for Personalized Child Speech Recognition Interspeech 2025 ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts ICML 2025 Exploring the Camera Bias of Person Re-identification ICLR 2025 Federated Learning with Domain Shift Eraser CVPR 2025 Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data WACV 2025 FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization IJCAI 2025 FIC-TSC: Learning Time Series Classification with Fisher Information Constraint ICML 2025 FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference Benchmarking NAACL 2025 FRET: Feature Redundancy Elimination for Test Time Adaptation ICCV 2025 From Sharpness to Better Generalization for Speech Deepfake Detection Interspeech 2025 Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation AAAI 2025 GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection EMNLP 2025 GeCC: Generalized Contrastive Clustering with Domain Shifts Modeling AAAI 2025 GIA-MIC: Multimodal Emotion Recognition with Gated Interactive Attention and Modality-Invariant Learning Constraints Interspeech 2025 Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation AAAI 2025 Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation AAAI 2025 Gradient-Guided Annealing for Domain Generalization CVPR 2025 Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition ACML 2025 Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation CVPR 2025 HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation AAAI 2025 HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts ICLR 2025 KIND: Knowledge Integration and Diversion for Training Decomposable Models ICML 2025 Maintaining Consistent Inter-Class Topology in Continual Test-Time Adaptation CVPR 2025 Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning AAAI 2025