Cecilia Testart

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Cecilia Testart trusts overall

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

  1. Jerome H. Friedman
  2. Cynthia Rudin
  3. Erik Strumbelj
  4. Been Kim
  5. Qingyuan Zhao
  6. Bradley C. Boehmke
  7. Benjamin Letham
  8. Trevor J. Hastie
  9. Gilles Louppe
  10. Leilani H. Gilpin

Papers from Cecilia Testart's perspective

Ordered by how strongly the researchers Cecilia Testart 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. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  9. Learning Multiple Layers of Features from Tiny Images
  10. Going deeper with convolutions

Their papers