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Jay Thiagarajan

Machine Learning Researcher

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#ICLR2023 Spotlight paper on aadapting pre-trained representations
New article on UDA: Subspace alignment helps!
#WACV2023 Contrastive knowledge augmented meta learning
#WACV2023 New paper on adversarially learned augs. for domain generalization
#Neurips2022 Scalable and accurate uncertainties in deep neural nets
#Neurips2022 New paper on graph representation learning
#ACML2022 Test-time adaptation meets domain alignment
#ACML2022 SoTA OOD detectors based on neural network anchoring

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