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Abhimanyu Dubey

Facebook AI Research

36 papers hereh-index 2418.8k citations59 works total

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

author position
  • sole author1
  • first author17
  • middle author13
  • last author3

Across the 34 of 36 papers where every author was matched, so the position is known.

fields
  • cs.CV14
  • cs.LG14
  • stat.ML3
  • cs.AI1
  • cs.CL1
  • cs.CY1
affiliations
  • Facebook AI Research
Homepage
same name
  • Abhimanyu Dubey — 15 papers, h 9

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
20152025
most citedDeep Learning the City : Quantifying Urban Perception At A Global Scale

52 citations · 314 across the 32 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 2 cited

Smaller Models, Better Generalization

Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey +3

Reducing network complexity has been a major research focus in recent years with the advent of mobile technology. Convolutional Neural Networks that perform various vision tasks wi…

cs.LG2019

Thompson Sampling on Symmetric α-Stable Bandits

Abhimanyu Dubey, Alex Pentland

Thompson Sampling provides an efficient technique to introduce prior knowledge in the multi-armed bandit problem, along with providing remarkable empirical performance. In this pap…

cs.CV2019★ 1 cited

Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search

Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz +2

A plethora of recent work has shown that convolutional networks are not robust to adversarial images: images that are created by perturbing a sample from the data distribution as t…

cs.LG2019★ 2 cited

Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning

Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +4

A common technique to improve learning performance in deep reinforcement learning (DRL) and many other machine learning algorithms is to run multiple learning agents in parallel. A…

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