Sylvain Gugger

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 5 papers; trusts 150 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Sylvain Gugger trusts overall

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

  1. Leslie N. Smith
  2. Kaiming He
  3. Ruslan Salakhutdinov
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. François Chollet
  8. Ross B. Girshick
  9. Diederik P. Kingma
  10. Jia Deng

Who trusts Sylvain Gugger overall

  1. Rohit Gandikota
  2. Zaid Khan
  3. Muhammad Shoaib Farooq
  4. Tal Ridnik
  5. Nick Erickson
  6. Chongyu Fan
  7. Yun Raymond Fu
  8. Abdul Hafeez

Papers from Sylvain Gugger's perspective

Ordered by how strongly the researchers Sylvain Gugger 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers