Jonathan F Roth

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jonathan F Roth trusts overall

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

  1. Kaiming He
  2. Serge Beucher
  3. Ross B. Girshick
  4. Barret Zoph
  5. Geoffrey E. Hinton
  6. Derek Hoiem
  7. Bharath Hariharan
  8. Alex Krizhevsky
  9. Mark Everingham
  10. Quoc V. Le

Papers from Jonathan F Roth's perspective

Ordered by how strongly the researchers Jonathan F Roth 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Rectified Linear Units Improve Restricted Boltzmann Machines

Their papers