Wonjong Rhee
Scholar

Wonjong Rhee

Google Scholar ID: htFuYWsAAAAJ
Seoul National University
Deep Learning TheoryArtificial IntelligenceInformation Theory
Citations & Impact
All-time
Citations
3,028
 
H-index
28
 
i10-index
52
 
Publications
20
 
Co-authors
39
list available
Contact
No contact links provided.
Resume (English only)
Research Experience
  • Research areas include unsupervised learning, information-theoretic methods, representation in transformers, interpretability, text-to-image generation, video understanding, meta-learning, neural architecture search, continual learning, and deep neural network compression.
Background
  • Our primary research goal is to advance understanding of the inner workings of deep learning, with a particular emphasis on representation learning. Our research spans a broad range of topics in deep learning, including unsupervised learning, information-theoretic methods, representation in transformers, interpretability, text-to-image generation, video understanding, meta-learning, neural architecture search, continual learning, and deep neural network compression.