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researcher

Been Kim

Google Brain

24 papers hereh-index 3923.2k citations60 works total

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

author position
  • first author2
  • middle author10
  • last author9

Across the 21 of 24 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • stat.ML7
  • cs.CV3
  • cs.AI1
  • cs.HC1
affiliations
  • Google Brain
Homepage
same name
  • Been Kim — 3 papers
  • Been Kim — 1 paper
  • Been Kim — 1 paper, h 5
  • Been Kim — 1 paper
  • Been Kim — 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
20172022
most citedTowards A Rigorous Science of Interpretable Machine Learning

3.2k citations · 4.2k across the 9 of their papers we have counts for

collaborators
Showing cs.AIShow all

1 paper · 1 filter

cs.AI2018

How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation

Menaka Narayanan, Emily Chen, Jeffrey He +3

Recent years have seen a boom in interest in machine learning systems that can provide a human-understandable rationale for their predictions or decisions. However, exactly what ki…

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