Boris Hanin

Artificial Intelligence · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 180 researchers and is trusted by 64 researchers here, as inferred from the citation graph.

Subfields

Whom Boris Hanin trusts overall

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

  1. Kaiming He
  2. Alex Krizhevsky
  3. Jeffrey Pennington
  4. Sepp Hochreiter
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Yann LeCun
  8. Sam Schoenholz
  9. X. Zhang
  10. J. Urgen Schmidhuber

Who trusts Boris Hanin overall

  1. Greg Yang
  2. Soham De
  3. Max H. Farrell
  4. Mihai Nica
  5. Tengyuan Liang
  6. Ronald A. DeVore
  7. Johannes von Oswald
  8. Lechao Xiao
  9. Yasaman Bahri
  10. Samuel L. Smith

Papers from Boris Hanin's perspective

Ordered by how strongly the researchers Boris Hanin 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  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