Isaac L. Chuang

Artificial Intelligence · with Northcutt · 2014–2019

A researcher in the Science corpus: 5 papers; trusts 152 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom Isaac L. Chuang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Charles Peter Elkan
  7. Kaiming He
  8. Ilya Sutskever
  9. J. Urgen Schmidhuber
  10. Oriol Vinyals

Who trusts Isaac L. Chuang overall

  1. Curtis G. Northcutt
  2. Jessa Bekker
  3. D. Malerba

Papers from Isaac L. Chuang's perspective

Ordered by how strongly the researchers Isaac L. Chuang 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. Gradient-based learning applied to document recognition
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers