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Hexiang Hu

Google DeepMind

23 papers hereh-index 305.4k citations43 works total

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

author position
  • first author5
  • middle author18

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV15
  • cs.LG4
  • cs.CL3
  • cs.AI1
affiliations
  • Google DeepMind
Homepage
same name
  • Hexiang Hu — 4 papers, h 6
  • Hexiang Hu — 3 papers
  • Hexiang Hu — 3 papers, h 4
  • Hexiang Hu — 1 paper, 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
20172024
most citedMultimodal Model-Agnostic Meta-Learning via Task-Aware Modulation

72 citations · 188 across the 11 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2023

From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces

Peter Shaw, Mandar Joshi, James Cohan +6

Much of the previous work towards digital agents for graphical user interfaces (GUIs) has relied on text-based representations (derived from HTML or other structured data sources),…

cs.LG2020

Drinking from a Firehose: Continual Learning with Web-scale Natural Language

Hexiang Hu, Ozan Sener, Fei Sha +1

Continual learning systems will interact with humans, with each other, and with the physical world through time -- and continue to learn and adapt as they do. An important open pro…

cs.LG2019★ 72 cited

Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation

Risto Vuorio, Shao-Hua Sun, Hexiang Hu +1

Model-agnostic meta-learners aim to acquire meta-learned parameters from similar tasks to adapt to novel tasks from the same distribution with few gradient updates. With the flexib…

cs.LG2018★ 13 cited

Toward Multimodal Model-Agnostic Meta-Learning

Risto Vuorio, Shao-Hua Sun, Hexiang Hu +1

Gradient-based meta-learners such as MAML are able to learn a meta-prior from similar tasks to adapt to novel tasks from the same distribution with few gradient updates. One import…

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