Yuval Kirstain

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuval Kirstain trusts overall

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

  1. Diederik P. Kingma
  2. Jonathan Ho
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Kaiming He
  7. Alec Radford
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Yann LeCun

Who trusts Yuval Kirstain overall

  1. Kevin Clark
  2. Xiaoshi Wu
  3. Zhiqiu Lin
  4. Jiazheng Xu
  5. Ori Ram
  6. Bram Wallace
  7. Or Castel

Papers from Yuval Kirstain's perspective

Ordered by how strongly the researchers Yuval Kirstain trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers