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researcher

Ashish Verma

10 papers hereh-index 191.4k citations78 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author9

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.DC3
  • cs.CL1
  • cs.CR1
same name
  • Ashish Verma — 10 papers, h 13
  • Ashish Verma — 4 papers
  • Ashish Verma — 1 paper
  • Ashish Verma — 1 paper, h 2
  • Ashish Verma — 1 paper, h 2
  • Ashish Verma — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedIBM Federated Learning: an Enterprise Framework White Paper V0.1

112 citations · 139 across the 7 of their papers we have counts for

collaborators
Showing cs.DCShow all

3 papers · 1 filter

cs.DC2020

Effective Elastic Scaling of Deep Learning Workloads

Vaibhav Saxena, K. R. Jayaram, Saurav Basu +2

The increased use of deep learning (DL) in academia, government and industry has, in turn, led to the popularity of on-premise and cloud-hosted deep learning platforms, whose goals…

cs.DC2017★ 3 cited

Efficient Training of Convolutional Neural Nets on Large Distributed Systems

Sameer Kumar, Dheeraj Sreedhar, Vaibhav Saxena +2

Deep Neural Networks (DNNs) have achieved im- pressive accuracy in many application domains including im- age classification. Training of DNNs is an extremely compute- intensive pr…

cs.DC2017★ 2 cited

Efficient Inferencing of Compressed Deep Neural Networks

Dharma Teja Vooturi, Saurabh Goyal, Anamitra R. Choudhury +2

Large number of weights in deep neural networks makes the models difficult to be deployed in low memory environments such as, mobile phones, IOT edge devices as well as "inferencin…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.