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Flood Sung

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedActor-Critic Sequence Training for Image Captioning

98 citations · 194 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2017★ 96 cited

Learning to Learn: Meta-Critic Networks for Sample Efficient Learning

Flood Sung, Li Zhang, Tao Xiang +2

We propose a novel and flexible approach to meta-learning for learning-to-learn from only a few examples. Our framework is motivated by actor-critic reinforcement learning, but can…

cs.CV2017★ 98 cited

Actor-Critic Sequence Training for Image Captioning

Li Zhang, Flood Sung, Feng Liu +4

Generating natural language descriptions of images is an important capability for a robot or other visual-intelligence driven AI agent that may need to communicate with human users…

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