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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
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
NIPS 2021
Integrated Latent Heterogeneity and Invariance Learning in Kernel Space
NIPS 2021
SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
NIPS 2021
Cycle Self-Training for Domain Adaptation
NIPS 2021
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
NIPS 2021
Towards Context-Agnostic Learning Using Synthetic Data
NIPS 2021
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning
AAAI 2020
Simultaneous Learning of Pivots and Representations for Cross-Domain Sentiment Classification
AAAI 2020
Unsupervised Domain Adaptation on Reading Comprehension
AAAI 2020
Back to the Future – Temporal Adaptation of Text Representations
AAAI 2020
Joint Adversarial Learning for Domain Adaptation in Semantic Segmentation
AAAI 2020
Bi-Directional Generation for Unsupervised Domain Adaptation
AAAI 2020
Adversarial Domain Adaptation with Domain Mixup
AAAI 2020
Dual Adversarial Co-Learning for Multi-Domain Text Classification
AAAI 2020
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
AAAI 2020
Discriminative Adversarial Domain Adaptation
AAAI 2020
Unsupervised Domain Adaptation via Discriminative Manifold Embedding and Alignment
AAAI 2020
Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data
AAAI 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows
AAAI 2020
Adversarial-Learned Loss for Domain Adaptation
AAAI 2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation
AAAI 2020
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
AAAI 2020
Multi-Source Domain Adaptation for Visual Sentiment Classification
AAAI 2020
Human-Machine Collaboration for Fast Land Cover Mapping
AAAI 2020
Modeling Electrical Motor Dynamics Using Encoder-Decoder with Recurrent Skip Connection
AAAI 2020
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