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researcher

Joseph E. Gonzalez

UC Berkeley

80 papers hereh-index 6840.8k citations221 works total

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

author position
  • middle author54
  • last author24

Across the 78 of 80 papers where every author was matched, so the position is known.

fields
  • cs.LG30
  • cs.CV21
  • cs.DC9
  • cs.RO9
  • cs.CL3
  • cs.AI2
affiliations
  • UC Berkeley
Homepage
same name
  • Joseph E. Gonzalez — 28 papers
  • Joseph E. Gonzalez — 3 papers

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
20112022
most citedA Berkeley View of Systems Challenges for AI

176 citations · 699 across the 41 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CL2022★ 8 cited

TEMPERA: Test-Time Prompting via Reinforcement Learning

Tianjun Zhang, Xuezhi Wang, Denny Zhou +2

Careful prompt design is critical to the use of large language models in zero-shot or few-shot learning. As a consequence, there is a growing interest in automated methods to desig…

cs.CV2022★ 5 cited

All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators

Brijen Thananjeyan, Justin Kerr, Huang Huang +2

Large-scale semantic image annotation is a significant challenge for learning-based perception systems in robotics. Current approaches often rely on human labelers, which can be ex…

cs.CV2022

On Guiding Visual Attention with Language Specification

Suzanne Petryk, Lisa Dunlap, Keyan Nasseri +3

While real world challenges typically define visual categories with language words or phrases, most visual classification methods define categories with numerical indices. However,…

cs.LG2022★ 127 cited

Representing Long-Range Context for Graph Neural Networks with Global Attention

Zhanghao Wu, Paras Jain, Matthew A. Wright +3

Graph neural networks are powerful architectures for structured datasets. However, current methods struggle to represent long-range dependencies. Scaling the depth or width of GNNs…

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