Jonathan M. Cohen

Artificial Intelligence · with Ginsburg · 2019

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jonathan M. Cohen trusts overall

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

  1. Diederik P. Kingma
  2. Ilya Loshchilov
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Alex Graves
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Ilya Sutskever
  9. Kaiming He

Who trusts Jonathan M. Cohen overall

  1. Boris Ginsburg

Papers from Jonathan M. Cohen's perspective

Ordered by how strongly the researchers Jonathan M. Cohen trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Layer Normalization
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers