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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
Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection
AAAI 2023
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations
EMNLP 2023
Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
ICML 2023
Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains
EMNLP 2023
Structural Re-weighting Improves Graph Domain Adaptation
ICML 2023
Domain Private Transformers for Multi-Domain Dialog Systems
EMNLP 2023
Universal Domain Adaptation for Robust Handling of Distributional Shifts in NLP
EMNLP 2023
Double-Weighting for Covariate Shift Adaptation
ICML 2023
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation
ICML 2023
Progressive Few-Shot Adaptation of Generative Model with Align-Free Spatial Correlation
AAAI 2023
ELSA: Efficient Label Shift Adaptation through the Lens of Semiparametric Models
ICML 2023
Learning Adaptive Dense Event Stereo From the Image Domain
CVPR 2023
Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
ICML 2023
On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer
CVPR 2023
Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface
AAAI 2023
On Pitfalls of Test-Time Adaptation
ICML 2023
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
ICML 2023
MOT: Masked Optimal Transport for Partial Domain Adaptation
CVPR 2023
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-Based Mixing
WACV 2023
Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation
WACV 2023
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing
WACV 2023
Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation
WACV 2023
How To Practice VQA on a Resource-Limited Target Domain
WACV 2023
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
WACV 2023
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
AAAI 2023
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