Kevin Frans

Computer Vision and Pattern Recognition · 2017–2024

A researcher in the Science corpus: 3 papers; trusts 61 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Frans trusts overall

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

  1. Geoffrey E. Hinton
  2. Richard S. Sutton
  3. Diederik P. Kingma
  4. Jonathan Ho
  5. Yoshua Bengio
  6. John Schulman
  7. Alex Krizhevsky
  8. Volodymyr Mnih
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Kevin Frans overall

  1. Yingtao Tian
  2. Benjamin Eysenbach
  3. Sergey Levine
  4. Peter Schaldenbrand
  5. Artyom Y. Sorokin
  6. Ofir Nachum
  7. Zihao Wang
  8. Wei-Lun Chao
  9. Pieter Abbeel
  10. Ferran Alet

Papers from Kevin Frans's perspective

Ordered by how strongly the researchers Kevin Frans 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. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers