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Domain Adaptation

8,656 papers

Papers per year

Papers

Robustness and Generalization via Generative Adversarial Training ICCV 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking ICCV 2021
Dual Path Learning for Domain Adaptation of Semantic Segmentation ICCV 2021
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection ICCV 2021
f-Domain Adversarial Learning: Theory and Algorithms ICML 2021
Learning from Biased Data: A Semi-Parametric Approach ICML 2021
A Theory of Label Propagation for Subpopulation Shift ICML 2021
Mandoline: Model Evaluation under Distribution Shift ICML 2021
Representation Subspace Distance for Domain Adaptation Regression ICML 2021
Understanding and Mitigating Accuracy Disparity in Regression ICML 2021
Exploiting Shared Representations for Personalized Federated Learning ICML 2021
A Discriminative Technique for Multiple-Source Adaptation ICML 2021
Unbalanced minibatch Optimal Transport; applications to Domain Adaptation ICML 2021
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation ICML 2021
An Information-Geometric Distance on the Space of Tasks ICML 2021
Correcting Exposure Bias for Link Recommendation ICML 2021
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021
Hierarchical VAEs Know What They Don’t Know ICML 2021
Selecting Data Augmentation for Simulating Interventions ICML 2021
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation ICML 2021
Improving Predictors via Combination Across Diverse Task Categories ICML 2021
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients ICML 2021
Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, and More ICML 2021
Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021
LAMDA: Label Matching Deep Domain Adaptation ICML 2021