Joshua Robinson

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 287 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Joshua Robinson trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Ruslan Salakhutdinov

Who trusts Joshua Robinson overall

  1. William Falcon
  2. John X. Morris
  3. Amrita Bhattacharjee
  4. Ananya Harsh Jha
  5. Alexander M. Rush
  6. Mansooreh Karami
  7. Lirong Wu
  8. Teddy Koker

Papers from Joshua Robinson's perspective

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

Their papers