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Methodology
← Learning Types
Machine Learning
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Learning Types
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Domain Adaptation
1154 directly classified papers
Papers per year
2006: 1
2007: 3
2008: 3
2009: 2
2010: 3
2011: 3
2012: 4
2013: 10
2014: 6
2015: 3
2016: 3
2017: 26
2018: 32
2019: 61
2020: 128
2021: 153
2022: 186
2023: 161
2024: 192
2025: 162
2026: 12
Papers
CLIB-FIQA: Face Image Quality Assessment with Confidence Calibration
CVPR 2024
Test-Time Adaptation for Depth Completion
CVPR 2024
MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation
CVPR 2024
NC-TTT: A Noise Constrastive Approach for Test-Time Training
CVPR 2024
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
EMNLP 2024
Proxy Methods for Domain Adaptation
AISTATS 2024
Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt
EMNLP 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
AISTATS 2024
Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
EMNLP 2024
Cycle Self-Refinement for Multi-Source Domain Adaptation
AAAI 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
IJCAI 2024
Optical Flow Domain Adaptation via Target Style Transfer
WACV 2024
ISP-Teacher:Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection
AAAI 2024
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation
CVPR 2024
DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
NIPS 2024
Towards Balanced Representation Learning for Credit Policy Evaluation
AISTATS 2023
Estimating Conditional Average Treatment Effects with Missing Treatment Information
AISTATS 2023
Contrastive Mean Teacher for Domain Adaptive Object Detectors
CVPR 2023
Domain Adaptation for Time Series Under Feature and Label Shifts
ICML 2023
Distribution Shift Inversion for Out-of-Distribution Prediction
CVPR 2023
PartManip: Learning Cross-Category Generalizable Part Manipulation Policy From Point Cloud Observations
CVPR 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
ICML 2023
Source-Free Adaptive Gaze Estimation by Uncertainty Reduction
CVPR 2023
Intermediate Domain Finetuning for Weakly Supervised Domain-adaptive Clinical NER
ACL 2023
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