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Calibrate and Prune: Improving Reliability of Lottery Tickets Through Prediction Calibration
The hypothesis that sub-network initializations (lottery) exist within t...
02/10/2020 ∙ by Bindya Venkatesh, et al. ∙
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Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning
Exploiting known semantic relationships between fine-grained tasks is cr...
11/24/2019 ∙ by Sameeksha Katoch, et al. ∙
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SALT: Subspace Alignment as an Auxiliary Learning Task for Domain Adaptation
Unsupervised domain adaptation aims to transfer and adapt knowledge lear...
06/11/2019 ∙ by Kowshik Thopalli, et al. ∙
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Multiple Subspace Alignment Improves Domain Adaptation
We present a novel unsupervised domain adaptation (DA) method for cross-...
11/11/2018 ∙ by Kowshik Thopalli, et al. ∙
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Perturbation Robust Representations of Topological Persistence Diagrams
Topological methods for data analysis present opportunities for enforcin...
07/26/2018 ∙ by Anirudh Som, et al. ∙
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