Domain Adaptation
9,897 papers
Papers per year
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46
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127
208
395
637
757
982
1,022
1,313
1,824
1,944
469
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Papers
Adapting General-Purpose Embedding Models to Private Datasets Using Keyword-based Retrieval
ACL 2025
Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025
AACL 2025
Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
ICCV 2025
Adapting Large Language Models for Character-based Augmentative and Alternative Communication
EMNLP 2025
Adapting Large Language Models for Movie Domain with Narrative Understanding Tasks
CoNLL 2025
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
ICLR 2025
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
CVPR 2025
Adapting to Evolving Adversaries with Regularized Continual Robust Training
ICML 2025
Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
ICCV 2025
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
ICML 2025
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom
COLING 2025
Adaptive and Robust Translation from Natural Language to Multi-model Query Languages
ACL 2025
Adaptive Camera Sensor for Vision Models
ICLR 2025
Adaptive Data Collection for Robust Learning Across Multiple Distributions
ICML 2025
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination
WACV 2025
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
ICLR 2025
Adaptive Estimation and Learning under Temporal Distribution Shift
ICML 2025
Adaptive kernel predictors from feature-learning infinite limits of neural networks
ICML 2025
Adaptive Locomotion on Mud through Proprioceptive Sensing of Substrate Properties
RSS 2025
Adaptive Parameter Selection for Tuning Vision-Language Models
CVPR 2025
Adaptive Platt Scaling with Causal Interpretations for Self-Reflective Language Model Uncertainty Estimates
EMNLP 2025
Adaptive Prompt Learning via Gaussian Outlier Synthesis for Out-of-distribution Detection
ICCV 2025
AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
ICML 2025
A Data Perspective on Enhanced Identity Preservation for Diffusion Personalization
WACV 2025
Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts
ICML 2025