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Methodology
← Learning Types
Deep Learning
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Learning Types
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Domain Adaptation
854 directly classified papers
Papers per year
2006: 1
2010: 1
2011: 1
2012: 1
2013: 6
2014: 3
2015: 3
2016: 8
2017: 16
2018: 39
2019: 95
2020: 124
2021: 129
2022: 114
2023: 119
2024: 121
2025: 73
Papers
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
CVPR 2021
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media
CVPR 2021
Generalized Domain Adaptation
CVPR 2021
Group-aware Label Transfer for Domain Adaptive Person Re-identification
CVPR 2021
Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels
CVPR 2021
Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation
CVPR 2021
Partial Feature Selection and Alignment for Multi-Source Domain Adaptation
CVPR 2021
Transferable Query Selection for Active Domain Adaptation
CVPR 2021
Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization
CVPR 2021
Open Domain Generalization with Domain-Augmented Meta-Learning
CVPR 2021
Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation
CVPR 2021
DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation
CVPR 2021
Dynamic Transfer for Multi-Source Domain Adaptation
CVPR 2021
FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains
CVPR 2021
Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias
CVPR 2021
MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation
CVPR 2021
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
CVPR 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation
CVPR 2021
Unbiased Mean Teacher for Cross-Domain Object Detection
CVPR 2021
FSDR: Frequency Space Domain Randomization for Domain Generalization
CVPR 2021
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
CVPR 2021
Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation
CVPR 2021
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
EMNLP 2021
Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
EMNLP 2021
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
EMNLP 2021
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