Domain Adaptation

Semi-Supervised Learning for Automatic Speech Recognition with Word Error Rate Estimation and Targeted Domain Data Selection Interspeech 2025 Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation AAAI 2025 Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation AISTATS 2025 Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition WACV 2025 Subgraph Aggregation for Out-of-Distribution Generalization on Graphs AAAI 2025 Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation AAAI 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025 Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation AAAI 2025 Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization AAAI 2025 Test-Time Training for Speech Enhancement Interspeech 2025 The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf CVPR 2025 UniDemoiré: Towards Universal Image Demoiréing with Data Generation and Synthesis AAAI 2025 Unified Microphone Conversion: Many-to-Many Device Mapping via Feature-wise Linear Modulation Interspeech 2025 Universal Domain Adaptation for Semantic Segmentation CVPR 2025 Universal Domain Adaptive Object Detection via Dual Probabilistic Alignment AAAI 2025 Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025 Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation AAAI 2025 Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling AAAI 2025 When The MOS Predictor Asks For Training Annotation In Cross Lingual/Domain Adaptation Interspeech 2025 Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation EMNLP 2025 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NeurIPS 2024 Adapting Visual-Language Models for Generalizable Anomaly Detection in Medical Images CVPR 2024 Adaptive Domain Learning for Cross-domain Image Denoising NeurIPS 2024 AdvST: Revisiting Data Augmentations for Single Domain Generalization AAAI 2024 A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning AAAI 2024