Sangamesh Kodge | DeepAI

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Featured Co-authors

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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 ...

0 Sai Aparna Aketi, et al. ∙

∙ 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...

0 Sai Aparna Aketi, et al. ∙

∙ 10/18/2021

BERMo: What can BERT learn from ELMo?

We propose BERMo, an architectural modification to BERT, which makes pre...

0 Sangamesh Kodge, et al. ∙

∙ 12/15/2020

Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection

Deep neural networks have found widespread adoption in solving complex t...

0 Deepak Ravikumar, et al. ∙

∙ 08/04/2020

TREND: Transferability based Robust ENsemble Design

Deep Learning models hold state-of-the-art performance in many fields, b...

20 Deepak Ravikumar, et al. ∙

∙ 03/27/2020

IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array

`In-memory computing' is being widely explored as a novel computing para...

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