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Kalpesh Krishna

Staff Research Scientist, Google DeepMind

27 papers hereh-index 2310.7k citations35 works total

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

author position
  • first author11
  • middle author15

Across the 26 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CL22
  • cs.LG3
  • cs.CV1
  • cs.IR1
affiliations
  • Staff Research Scientist, Google DeepMind
Homepage
same name
  • Kalpesh Krishna — 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
20172024
most citedThieves on Sesame Street! Model Extraction of BERT-based APIs

98 citations · 372 across the 23 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CL2019★ 98 cited

Thieves on Sesame Street! Model Extraction of BERT-based APIs

Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh +2

We study the problem of model extraction in natural language processing, in which an adversary with only query access to a victim model attempts to reconstruct a local copy of that…

cs.CL2019

Generating Question-Answer Hierarchies

Kalpesh Krishna, Mohit Iyyer

The process of knowledge acquisition can be viewed as a question-answer game between a student and a teacher in which the student typically starts by asking broad, open-ended quest…

cs.CL2019★ 57 cited

Syntactically Supervised Transformers for Faster Neural Machine Translation

Nader Akoury, Kalpesh Krishna, Mohit Iyyer

Standard decoders for neural machine translation autoregressively generate a single target token per time step, which slows inference especially for long outputs. While architectur…

cs.CV2019★ 4 cited

Trick or TReAT: Thematic Reinforcement for Artistic Typography

Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju +1

An approach to make text visually appealing and memorable is semantic reinforcement - the use of visual cues alluding to the context or theme in which the word is being used to rei…

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