Guillaume Chassagnon

Artificial Intelligence · 2018

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

Subfields

Whom Guillaume Chassagnon trusts overall

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

  1. Sebastian Ruder
  2. Juan Eugenio Iglesias
  3. Evan Shelhamer
  4. Olaf Ronneberger
  5. Vijay Badrinarayanan

Papers from Guillaume Chassagnon's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Fully convolutional networks for semantic segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. ImageNet: A large-scale hierarchical image database

Their papers