Joel Shor

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 9 papers; trusts 55 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

Whom Joel Shor trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Graves
  4. Sergey Ioffe
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Kaiming He
  9. Yann LeCun
  10. Pete Warden

Who trusts Joel Shor overall

  1. Yu Zhang
  2. Aaqib Saeed
  3. Soham Deshmukh
  4. Eirikur Agustsson
  5. Wei-Ning Hsu
  6. Subhashini Venugopalan
  7. Yibin Zheng
  8. Rafael Valle
  9. David C. Minnen
  10. Gustav Eje Henter

Papers from Joel Shor's perspective

Ordered by how strongly the researchers Joel Shor 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. 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers