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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
Gradual Fine-Tuning for Low-Resource Domain Adaptation
EACL 2021
On the Hidden Negative Transfer in Sequential Transfer Learning for Domain Adaptation from News to Tweets
EACL 2021
Domain adaptation in practice: Lessons from a real-world information extraction pipeline
EACL 2021
Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management
EACL 2021
How Does the Combined Risk Affect the Performance of Unsupervised Domain Adaptation Approaches?
AAAI 2021
FJWU Participation for the WMT21 Biomedical Translation Task
EMNLP 2021
Consistency Regularization with High-dimensional Non-adversarial Source-guided Perturbation for Unsupervised Domain Adaptation in Segmentation
AAAI 2021
Hypothesis Disparity Regularized Mutual Information Maximization
AAAI 2021
Balanced Open Set Domain Adaptation via Centroid Alignment
AAAI 2021
Generalising without Forgetting for Lifelong Person Re-Identification
AAAI 2021
Dual Distribution Alignment Network for Generalizable Person Re-Identification
AAAI 2021
A Falta de Pan, Buenas Son Tortas: The Efficacy of Predicted UPOS Tags for Low Resource UD Parsing
ACL 2021
Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels
AAAI 2021
High Frequent In-domain Words Segmentation and Forward Translation for the WMT21 Biomedical Task
EMNLP 2021
Differentially Private Correlation Alignment for Domain Adaptation
IJCAI 2021
Adapting Event Extractors to Medical Data: Bridging the Covariate Shift
EACL 2021
The Source-Target Domain Mismatch Problem in Machine Translation
EACL 2021
Towards Robust Model Reuse in the Presence of Latent Domains
IJCAI 2021
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
EMNLP 2021
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
IJCAI 2021
OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations
CVPR 2021
Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training
CVPR 2021
Conditional Bures Metric for Domain Adaptation
CVPR 2021
Divergence Optimization for Noisy Universal Domain Adaptation
CVPR 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning
CVPR 2021
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