Frédérick Gusset

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Frédérick Gusset trusts overall

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

  1. Mikhail Belkin
  2. Taco Cohen
  3. Pascal Frossard
  4. Yu-Chuan Su
  5. Wouter Boomsma

Papers from Frédérick Gusset's perspective

Ordered by how strongly the researchers Frédérick Gusset 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ShapeNet: An Information-Rich 3D Model Repository
  6. Long Short-Term Memory
  7. Spectral Networks and Locally Connected Networks on Graphs
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Scikit-learn: Machine Learning in Python

Their papers