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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
Certifying Some Distributional Fairness with Subpopulation Decomposition
NIPS 2022
Back to Reality: Weakly-Supervised 3D Object Detection With Shape-Guided Label Enhancement
CVPR 2022
HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks
NIPS 2022
Bayesian Invariant Risk Minimization
CVPR 2022
Learning ABCs: Approximate Bijective Correspondence for Isolating Factors of Variation With Weak Supervision
CVPR 2022
Subsidiary Prototype Alignment for Universal Domain Adaptation
NIPS 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
NIPS 2022
Physically-Based Face Rendering for NIR-VIS Face Recognition
NIPS 2022
Parameter tuning and model selection in Optimal Transport with semi-dual Brenier formulation
NIPS 2022
Contrastive Adapters for Foundation Model Group Robustness
NIPS 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NIPS 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation
NIPS 2022
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition
SEMEVAL 2022
FIFO: Learning Fog-Invariant Features for Foggy Scene Segmentation
CVPR 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP
NIPS 2022
Test-Time Training with Masked Autoencoders
NIPS 2022
UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup
NIPS 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
NIPS 2022
Variational Model Perturbation for Source-Free Domain Adaptation
NIPS 2022
Generalized One-shot Domain Adaptation of Generative Adversarial Networks
NIPS 2022
Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
NIPS 2022
Revisiting Realistic Test-Time Training: Sequential Inference and Adaptation by Anchored Clustering
NIPS 2022
When Does Group Invariant Learning Survive Spurious Correlations?
NIPS 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression
NIPS 2022
Test Time Adaptation via Conjugate Pseudo-labels
NIPS 2022
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