Omer Bar-Tal

Computer Vision and Pattern Recognition · 2021–2024

A researcher in the Science corpus: 5 papers; trusts 375 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Omer Bar-Tal trusts overall

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

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

Who trusts Omer Bar-Tal overall

  1. Michal Geyer
  2. Minghao Chen
  3. Tim Brooks
  4. Guillaume Couairon
  5. Jing Shi
  6. Patrick Schramowski
  7. Shaoteng Liu
  8. Kai Zhang
  9. Patrick Esser
  10. Amir Hertz

Papers from Omer Bar-Tal's perspective

Ordered by how strongly the researchers Omer Bar-Tal 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers