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J. Boyd-Graber

16 papers hereh-index 223.4k citations53 works total

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

author position
  • middle author10
  • last author5

Across the 15 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CL12
  • cs.CV2
  • cs.IR1
  • cs.LG1
same name
  • J. Boyd-Graber — 23 papers, h 15
  • J. Boyd-Graber — 23 papers, h 9
  • J. Boyd-Graber — 3 papers, h 4
  • J. Boyd-Graber — 2 papers, h 1

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
20162025
most citedOpponent Modeling in Deep Reinforcement Learning

108 citations · 162 across the 11 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

Automatic Estimation of Simultaneous Interpreter Performance

Craig Stewart, Nikolai Vogler, Junjie Hu +2

Simultaneous interpretation, translation of the spoken word in real-time, is both highly challenging and physically demanding. Methods to predict interpreter confidence and the ade…

cs.CL2018

Lessons from the Bible on Modern Topics: Low-Resource Multilingual Topic Model Evaluation

Shudong Hao, Jordan Boyd-Graber, Michael J. Paul

Multilingual topic models enable document analysis across languages through coherent multilingual summaries of the data. However, there is no standard and effective metric to evalu…

cs.CV2018

Learning to Color from Language

Varun Manjunatha, Mohit Iyyer, Jordan Boyd-Graber +1

Automatic colorization is the process of adding color to greyscale images. We condition this process on language, allowing end users to manipulate a colorized image by feeding in d…

cs.CL2018★ 3 cited

Inducing and Embedding Senses with Scaled Gumbel Softmax

Fenfei Guo, Mohit Iyyer, Jordan Boyd-Graber

Methods for learning word sense embeddings represent a single word with multiple sense-specific vectors. These methods should not only produce interpretable sense embeddings, but s…

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