Jiawei Zhang

Computer Vision and Pattern Recognition · with Ebert · 2018

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 Jiawei Zhang trusts overall

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

  1. Tamara Munzner
  2. Josua Krause
  3. Jeffrey Pennington
  4. Chris Stolte
  5. Richard Socher
  6. Saleema Amershi
  7. Fabian Pedregosa
  8. Todd Kulesza
  9. Diane Tang
  10. Christopher D. Manning

Who trusts Jiawei Zhang overall

  1. Giulia Vilone
  2. Yongsu Ahn
  3. Oscar Gomez
  4. James Wexler
  5. Fred Hohman
  6. Longo Luca
  7. Yu-Ru Lin
  8. Thomas Liao
  9. Steffen Holter

Papers from Jiawei Zhang's perspective

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

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

Their papers