Sacha Arnoud

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 63 researchers and is trusted by 192 researchers here, as inferred from the citation graph.

Subfields

Whom Sacha Arnoud trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Matthew D. Zeiler
  4. Aapo Hyvärinen
  5. Yann LeCun
  6. Ross B. Girshick
  7. Yoshua Bengio
  8. Ian J. Goodfellow
  9. Rob Fergus
  10. Ilya Sutskever

Who trusts Sacha Arnoud overall

  1. Max Jaderberg
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Andrea Vedaldi
  5. Yair Movshovitz-Attias
  6. Karol J. Piczak

Papers from Sacha Arnoud's perspective

Ordered by how strongly the researchers Sacha Arnoud 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. Going deeper with convolutions
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers