Tung D. Le

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tung D. Le trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Martín Abadi
  4. X. Zhang
  5. Geoffrey E. Hinton
  6. Ilya Sutskever
  7. Minsoo Rhu
  8. Shaoqing Ren
  9. Michael Isard
  10. Ross B. Girshick

Who trusts Tung D. Le overall

  1. Ahmed Elnaggar
  2. Chien-chin Huang
  3. Michael Heinzinger
  4. Gu Jin

Papers from Tung D. Le's perspective

Ordered by how strongly the researchers Tung D. Le 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Going deeper with convolutions
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers