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Abhinav Gupta

Google DeepMind

4 papers hereh-index 93.4k citations17 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.LG1
affiliations
  • Google DeepMind
Homepage
same name
  • Abhinav Gupta — 6 papers, h 32
  • Abhinav Gupta — 5 papers
  • Abhinav Gupta — 5 papers
  • Abhinav Gupta — 2 papers, h 10
  • Abhinav Gupta — 1 paper

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
20172020
most citedVisual Features for Context-Aware Speech Recognition

38 citations · 41 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2020★ 2 cited

Towards Graph Representation Learning in Emergent Communication

Agnieszka Słowik, Abhinav Gupta, William L. Hamilton +2

Recent findings in neuroscience suggest that the human brain represents information in a geometric structure (for instance, through conceptual spaces). In order to communicate, we…

cs.CL2019

Capacity, Bandwidth, and Compositionality in Emergent Language Learning

Cinjon Resnick, Abhinav Gupta, Jakob Foerster +2

Many recent works have discussed the propensity, or lack thereof, for emergent languages to exhibit properties of natural languages. A favorite in the literature is learning compos…

cs.CL2017★ 1 cited

Sentiment Classification using Images and Label Embeddings

Laura Graesser, Abhinav Gupta, Lakshay Sharma +1

In this project we analysed how much semantic information images carry, and how much value image data can add to sentiment analysis of the text associated with the images. To bette…

cs.CL2017★ 38 cited

Visual Features for Context-Aware Speech Recognition

Abhinav Gupta, Yajie Miao, Leonardo Neves +1

Automatic transcriptions of consumer-generated multi-media content such as "Youtube" videos still exhibit high word error rates. Such data typically occupies a very broad domain, h…

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