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05/18/2023
Universal Domain Adaptation from Foundation Models
Foundation models (e.g., CLIP or DINOv2) have shown their impressive lea...
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01/30/2023
Adversarial Style Augmentation for Domain Generalization
It is well-known that the performance of well-trained deep neural networ...
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08/16/2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization
Learning invariant (causal) features for out-of-distribution (OOD) gener...
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06/18/2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models
Domain adaptation becomes more challenging with increasing gaps between ...
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06/01/2021
Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Unsupervised domain adaptation (UDA) and semi-supervised learning (SSL) ...
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04/10/2021
On Universal Black-Box Domain Adaptation
In this paper, we study an arguably least restrictive setting of domain ...
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07/15/2020
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Motivated by the problem relatedness between unsupervised domain adaptat...
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02/20/2020
