Nir Shlezinger

Artificial Intelligence · 2019–2022

A researcher in the Science corpus: 8 papers; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nir Shlezinger trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Y. Ng
  7. Max Welling
  8. Kaiming He
  9. Yonina C. Eldar
  10. Ilya Sutskever

Who trusts Nir Shlezinger overall

  1. Ruizhe Long
  2. Fan Liu
  3. Zhe Wang
  4. Ying-Chang Liang

Papers from Nir Shlezinger's perspective

Ordered by how strongly the researchers Nir Shlezinger 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers