Nishanth Dikkala on Muck Rack

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Articles

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel

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By Nishanth Dikkala, Nikunj Saunshi, Xin Wang, Arun Kandoor
| arxiv.org
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[2406.17989] Learning Neural Networks with Sparse Activations

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By Pritish Kamath, Raghu Meka, Nishanth Dikkala
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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[2301.13310] Alternating Updates for Efficient Transformers

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By Dylan Cutler, Nishanth Dikkala, Rina Panigrahy, Nikhil Ghosh
| arxiv.org
[Submitted on 30 Jan 2023 ( v1 ), last revised 3 Oct 2023 (this version, v2)] Title:Alternating Updates for Efficient Transformers View a PDF of the paper titled Alternating Updates for Efficient Transformers, by Cenk Baykal and Dylan Cutler and Nishanth Dikkala and Nikhil Ghosh and Rina Panigrahy and Xin Wang View PDF Abstract:It has been well established that increasing scale in deep transformer networks leads to improved quality and performance.
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