Etienne Pot

Computer Vision and Pattern Recognition · 2018–2025

A researcher in the Science corpus: 5 papers; trusts 22 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Etienne Pot trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Chin-Yew Lin
  5. Alex Krizhevsky
  6. Sumit Chopra
  7. Kaiming He
  8. Dzmitry Bahdanau
  9. Ashish Vaswani
  10. Ilya Sutskever

Who trusts Etienne Pot overall

  1. Yu-An Chung
  2. Noam Shazeer
  3. Angela Fan
  4. Yi Tay
  5. Wojciech Kryscinski
  6. James R. Glass
  7. Alexander R. Fabbri

Papers from Etienne Pot's perspective

Ordered by how strongly the researchers Etienne Pot 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers