Or Patashnik

Computer Vision and Pattern Recognition · 2020–2022

A researcher in the Science corpus: 9 papers; trusts 1,177 researchers and is trusted by 429 researchers here, as inferred from the citation graph.

Subfields

Whom Or Patashnik trusts overall

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

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

Who trusts Or Patashnik overall

  1. Yuval Alaluf
  2. Gwanghyun Kim
  3. A. B. Impact
  4. Rinon Gal
  5. Yotam Nitzan
  6. Weihao Xia
  7. Prafulla Dhariwal
  8. Jong Chul Ye
  9. Daniel Cohen-Or
  10. Axel Sauer

Papers from Or Patashnik's perspective

Ordered by how strongly the researchers Or Patashnik 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. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. GENERATIVE ADVERSARIAL NETS

Their papers