Ben Sorscher

Neural Information Processing Systems · 2022

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Ben Sorscher trusts overall

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

  1. Robert Geirhos
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Vitaly Feldman
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Jia Deng
  10. M. Paul

Who trusts Ben Sorscher overall

  1. Jean Kaddour
  2. Amro Abbas
  3. Sang Michael Xie
  4. Michael R Douglas

Papers from Ben Sorscher's perspective

Ordered by how strongly the researchers Ben Sorscher 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. ImageNet Large Scale Visual Recognition Challenge
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers