Nicolas Vasilache

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 6 papers; trusts 320 researchers and is trusted by 317 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Vasilache trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Yann LeCun
  5. Yoshua Bengio
  6. Kaiming He
  7. Sven Verdoolaege
  8. Ross B. Girshick
  9. Diederik P. Kingma
  10. Christian Szegedy

Who trusts Nicolas Vasilache overall

  1. Andrew Lavin
  2. Tianqi Chen
  3. Xiangyu Zhang
  4. Yihui He
  5. Tal Ben-Nun
  6. Gaurav Menghani
  7. Adam Polyak
  8. Taco Cohen
  9. Vadim Lebedev
  10. Sheng-Chun Kao

Papers from Nicolas Vasilache's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers