Yonghui Zhang

Representation & Self-Supervised Learning · with Cai · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yonghui Zhang trusts overall

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

  1. Mikhail Belkin
  2. Geoffrey E. Hinton
  3. Herv'e J'egou
  4. S. Mancell
  5. Josh Tenenbaum
  6. Armand Joulin
  7. David Chan
  8. Kaiming He

Who trusts Yonghui Zhang overall

  1. David Chan
  2. Cynthia Rudin

Papers from Yonghui Zhang's perspective

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

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

Their papers