Rinon Gal

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 4 papers; trusts 718 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Rinon Gal trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Tero Karras
  6. Yoshua Bengio
  7. Ilya Sutskever
  8. Yann LeCun
  9. Karen Simonyan
  10. Ross B. Girshick

Who trusts Rinon Gal overall

  1. Hila Chefer
  2. Gal Metzer
  3. Gihyun Kwon
  4. Elad Richardson
  5. Yuval Alaluf
  6. Lvmin Zhang
  7. Dongxu Li
  8. Minghao Chen
  9. Bram Wallace
  10. Nupur Kumari

Papers from Rinon Gal's perspective

Ordered by how strongly the researchers Rinon Gal 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. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers