Jay Whang

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 6 papers; trusts 301 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jay Whang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Yann LeCun
  6. Kaiming He
  7. Jonathan Ho
  8. Ilya Sutskever
  9. Richard S. Sutton
  10. Karen Simonyan

Who trusts Jay Whang overall

  1. Bahjat Kawar
  2. Arpit Bansal
  3. Diederik P. Kingma
  4. Jonathan Ho

Papers from Jay Whang's perspective

Ordered by how strongly the researchers Jay Whang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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