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researcher

Sanjiv Kumar

64 papers hereh-index 5919k citations112 works total

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

author position
  • middle author32
  • last author31

Across the 63 of 64 papers where every author was matched, so the position is known.

fields
  • cs.LG46
  • stat.ML6
  • cs.CL3
  • cs.CV3
  • cs.AI2
  • cs.CR2
same name
  • Sanjiv Kumar — 11 papers, h 9
  • Sanjiv Kumar — 9 papers, h 8
  • Sanjiv Kumar — 7 papers, h 6
  • Sanjiv Kumar — 7 papers, h 3
  • Sanjiv Kumar — 4 papers, h 4
  • Sanjiv Kumar — 3 papers, h 3

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
20122023
most citedEfficient Natural Language Response Suggestion for Smart Reply

220 citations · 2.3k across the 62 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.SD2017★ 21 cited

Now Playing: Continuous low-power music recognition

Blaise Agüera y Arcas, Beat Gfeller, Ruiqi Guo +8

Existing music recognition applications require a connection to a server that performs the actual recognition. In this paper we present a low-power music recognizer that runs entir…

cs.CV2017★ 10 cited

Learning Spread-out Local Feature Descriptors

Xu Zhang, Felix X. Yu, Sanjiv Kumar +1

We propose a simple, yet powerful regularization technique that can be used to significantly improve both the pairwise and triplet losses in learning local feature descriptors. The…

cs.CL2017★ 220 cited

Efficient Natural Language Response Suggestion for Smart Reply

Matthew Henderson, Rami Al-Rfou, Brian Strope +6

This paper presents a computationally efficient machine-learned method for natural language response suggestion. Feed-forward neural networks using n-gram embedding features encode…

cs.LG2017★ 14 cited

Stochastic Generative Hashing

Bo Dai, Ruiqi Guo, Sanjiv Kumar +2

Learning-based binary hashing has become a powerful paradigm for fast search and retrieval in massive databases. However, due to the requirement of discrete outputs for the hash fu…

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