Tal Ben-Nun

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 976 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Tal Ben-Nun trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Kaiming He
  5. Yann LeCun
  6. Ilya Sutskever
  7. J. Urgen Schmidhuber
  8. Diederik P. Kingma
  9. Alex Graves
  10. Quoc V. Le

Who trusts Tal Ben-Nun overall

  1. Ahmed Khaled
  2. Elad Hoffer
  3. Yichen Xu
  4. Peter Richtárik
  5. Ruchi Puri
  6. Hugo Touvron
  7. Zhan Shi
  8. Chun-Fu Chen
  9. Paras Jain
  10. Yanqiao Zhu

Papers from Tal Ben-Nun's perspective

Ordered by how strongly the researchers Tal Ben-Nun trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers