Tal Ridnik

Computer Vision and Pattern Recognition · 2019–2024

A researcher in the Science corpus: 6 papers; trusts 655 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Tal Ridnik trusts overall

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

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

Who trusts Tal Ridnik overall

  1. Stanislav Fort
  2. Yongming Rao
  3. Muhammad Maaz
  4. Sachin Mehta
  5. P. Janson
  6. Jaewon Kim
  7. Onat Dalmaz
  8. Jue Wang
  9. Botao Ye
  10. Jiasen Lu

Papers from Tal Ridnik's perspective

Ordered by how strongly the researchers Tal Ridnik 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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers