Antoine Caillon

Computer Vision and Pattern Recognition · 2021–2023

A researcher in the Science corpus: 3 papers; trusts 46 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Antoine Caillon trusts overall

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

  1. Diederik P. Kingma
  2. Truong Q. Nguyen
  3. Geoffrey E. Hinton
  4. Yoshua Bengio
  5. Jesse Engel
  6. Jimmy Ba
  7. Aäron van den Oord
  8. Max Welling
  9. Alex Krizhevsky
  10. Ian J. Goodfellow

Who trusts Antoine Caillon overall

  1. Alexandre D'efossez
  2. Hubert Siuzdak
  3. Jade Copet
  4. Gabriel Synnaeve

Papers from Antoine Caillon's perspective

Ordered by how strongly the researchers Antoine Caillon 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers