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09/28/2022
Neighborhood Gradient Clustering: An Efficient Decentralized Learning Method for Non-IID Data Distributions
Decentralized learning over distributed datasets can have significantly ...
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11/17/2021
Low Precision Decentralized Distributed Training over IID and non-IID Data
Decentralized distributed learning is the key to enabling large-scale ma...
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10/18/2021
BERMo: What can BERT learn from ELMo?
We propose BERMo, an architectural modification to BERT, which makes pre...
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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
TREND: Transferability based Robust ENsemble Design
Deep Learning models hold state-of-the-art performance in many fields, b...
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03/27/2020