J. Zhang

Artificial Intelligence · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2011–2023

A researcher in the Science corpus: 12 papers; trusts 278 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Zhang trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. Raphael Amit
  6. Tanya V. Bondarouk
  7. Yoshua Bengio
  8. Ross B. Girshick
  9. Diederik P. Kingma
  10. Ilya Sutskever

Papers from J. Zhang's perspective

Ordered by how strongly the researchers J. Zhang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers