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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
SCoRD: Subject-Conditional Relation Detection With Text-Augmented Data
WACV 2024
What How and When Should Object Detectors Update in Continually Changing Test Domains?
CVPR 2024
Unsupervised Domain Adaptation for Keyphrase Generation using Citation Contexts
EMNLP 2024
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
CVPR 2024
Attentive Prototypes for Source-Free Unsupervised Domain Adaptive 3D Object Detection
WACV 2024
Medical Adaptation of Large Language and Vision-Language Models: Are We Making Progress?
EMNLP 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation
JMLR 2024
Gradual Domain Adaptation: Theory and Algorithms
JMLR 2024
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
WACV 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data
JMLR 2024
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
JMLR 2024
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
JMLR 2024
Universal Test-Time Adaptation Through Weight Ensembling, Diversity Weighting, and Prior Correction
WACV 2024
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
JMLR 2024
CoD: Coherent Detection of Entities From Images With Multiple Modalities
WACV 2024
Stochastic Binary Network for Universal Domain Adaptation
WACV 2024
FG-Net: Facial Action Unit Detection With Generalizable Pyramidal Features
WACV 2024
Robust Learning via Conditional Prevalence Adjustment
WACV 2024
Effective Restoration of Source Knowledge in Continual Test Time Adaptation
WACV 2024
Gradual Source Domain Expansion for Unsupervised Domain Adaptation
WACV 2024
From Denoising Training To Test-Time Adaptation: Enhancing Domain Generalization for Medical Image Segmentation
WACV 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
MAGE: Machine-generated Text Detection in the Wild
ACL 2024
Proxy Methods for Domain Adaptation
AISTATS 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
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