Guy Gur-Ari

Artificial Intelligence · with Wang · 2018–2023

A researcher in the Science corpus: 10 papers; trusts 136 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Guy Gur-Ari trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Kaiming He
  4. Diederik P. Kingma
  5. Alex Krizhevsky
  6. L. Eon Bottou
  7. Ilya Sutskever
  8. Yann LeCun
  9. Alex Graves
  10. Razvan Pascanu

Who trusts Guy Gur-Ari overall

  1. Behrooz Ghorbani
  2. Guillaume Alain
  3. Boris Hanin
  4. Yasaman Bahri
  5. Timothy Nguyen
  6. Ethan Dyer
  7. Mario Geiger
  8. Jonathan Frankle
  9. Aitor Lewkowycz
  10. Vardan Papyan

Papers from Guy Gur-Ari's perspective

Ordered by how strongly the researchers Guy Gur-Ari 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers