Thomas Gilles

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Gilles trusts overall

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

  1. Jimmy Ba
  2. Geoffrey E. Hinton
  3. Yichuan Tang
  4. Ruslan Salakhutdinov
  5. Alex Krizhevsky
  6. Kaiming He
  7. Diederik P. Kingma
  8. Nicholas Rhinehart
  9. Xingyi Zhou
  10. Yoshua Bengio

Who trusts Thomas Gilles overall

  1. Shaoshuai Shi
  2. Balakrishnan Varadarajan
  3. Li Jiang

Papers from Thomas Gilles's perspective

Ordered by how strongly the researchers Thomas Gilles 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. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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