Cédric Févotte

Signal Processing · 2006–2014

A researcher in the Science corpus: 5 papers; trusts 26 researchers and is trusted by 113 researchers here, as inferred from the citation graph.

Subfields

Whom Cédric Févotte trusts overall

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

  1. Chih-Jen Lin
  2. Paris Smaragdis
  3. Andrzej S. Cichocki
  4. Ali Taylan Cemgil
  5. Daniel D. Lee
  6. Tuomas Virtanen
  7. David R. Hunter
  8. Inderjit S. Dhillon
  9. Chris H. Q. Ding
  10. Shun-ichi Amari

Who trusts Cédric Févotte overall

  1. Ruohan Gao
  2. Laura Gustafson
  3. Maarten Grootendorst
  4. Nicolas Gillis
  5. Julien Mairal
  6. Francis R. Bach
  7. Kristen Grauman
  8. Emad M. Grais
  9. Yi Luo
  10. Shinji Watanabe

Papers from Cédric Févotte's perspective

Ordered by how strongly the researchers Cédric Févotte trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Learning the parts of objects by non-negative matrix factorization
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers