← Learning Types
Machine Learning › Learning Types ›

Domain Adaptation

1154 directly classified papers

Papers per year

Papers

Label Calibration in Source Free Domain Adaptation WACV 2025
FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding COLING 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers WACV 2025
Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation WACV 2025
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms JMLR 2025
ACL 2025 Industry Track: Overview ACL 2025
Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025
Feature Augmentation Based Test-Time Adaptation WACV 2025
AH-OCDA: Amplitude-Based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptation WACV 2025
Combining Inherent Knowledge of Vision-Language Models with Unsupervised Domain Adaptation through Strong-Weak Guidance WACV 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025
Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025
GraphRAG Analysis for Financial Narrative Summarization and A Framework for Optimizing Domain Adaptation COLING 2025
Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation COLING 2025
Effortless Active Labeling for Long-Term Test-Time Adaptation CVPR 2025
Parallel Corpora for Machine Translation in Low-Resource Indic Languages: A Comprehensive Review NAACL 2025
Decouple Distortion from Perception: Region Adaptive Diffusion for Extreme-low Bitrate Perception Image Compression CVPR 2025
Choose Your Words Wisely: Domain-adaptive Masking Makes Language Models Learn Faster NAACL 2025
DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning EMNLP 2025
Cross-domain Rumor Detection via Test-Time Adaptation and Large Language Models EMNLP 2025
Beyond Seen Data: Improving KBQA Generalization Through Schema-Guided Logical Form Generation EMNLP 2025
Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025
SNaRe: Domain-aware Data Generation for Low-Resource Event Detection EMNLP 2025
Enpowering Your Pansharpening Models with Generalizability: Unified Distribution is All You Need ICCV 2025