Namhoon Cho

Artificial Intelligence · 2015–2024

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Namhoon Cho trusts overall

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

  1. Navid Azizan
  2. Matthew Brand
  3. Bo Liu
  4. Youngjae Min
  5. Mehrdad Farajtabar
  6. Peng Zhao
  7. Tyler L. Hayes
  8. Rolf Rysdyk
  9. Babak Hassibi
  10. Xuesu Xiao

Papers from Namhoon Cho's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers