Yoni Kasten

Computer Vision and Pattern Recognition · with Bar-Tal · 2022

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yoni Kasten trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Kaiming He
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Eli Shechtman

Papers from Yoni Kasten's perspective

Ordered by how strongly the researchers Yoni Kasten 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Microsoft COCO: Common Objects in Context
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Gradient-based learning applied to document recognition

Their papers