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04/09/2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning
Decentralized learning enables serverless training of deep neural networ...
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05/06/2022
Norm-Scaling for Out-of-Distribution Detection
Out-of-Distribution (OoD) inputs are examples that do not belong to the ...
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12/15/2020
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection
Deep neural networks have found widespread adoption in solving complex t...
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08/04/2020
