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