Philippe Tillet

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe Tillet trusts overall

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

  1. Kaiming He
  2. Andrew Lavin
  3. Scott Gray
  4. Ashish Vaswani
  5. Alex Krizhevsky
  6. X. Zhang
  7. Jonathan Ragan-Kelley
  8. Geoffrey E. Hinton
  9. Nicolas Vasilache
  10. Shaoqing Ren

Who trusts Philippe Tillet overall

  1. Tri Dao
  2. Songlin Yang
  3. Ji Lin
  4. Amirkeivan Mohtashami
  5. Zi-Mei Yao
  6. Bailin Wang
  7. Jiaming Tang
  8. Mitchell Wortsman
  9. Zichang Liu
  10. Martin Jaggi

Papers from Philippe Tillet's perspective

Ordered by how strongly the researchers Philippe Tillet 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. Attention is All you Need (Neural Information Processing Systems)
  4. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Going deeper with convolutions
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers