Jung Uk Kim

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jung Uk Kim trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Jung Uk Kim's perspective

Ordered by how strongly the researchers Jung Uk Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distilling the Knowledge in a Neural Network (arXiv.org)
  2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Improving Language Understanding by Generative Pre-Training
  6. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  7. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers