Gérard Bloch

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Gérard Bloch trusts overall

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

  1. Yann LeCun
  2. Vladimir Naumovich Vapni
  3. Isabelle M Guyon
  4. Patrice Y. Simard

Who trusts Gérard Bloch overall

  1. Ruslan Salakhutdinov

Papers from Gérard Bloch's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. The Nature of Statistical Learning Theory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Best practices for convolutional neural networks applied to visual document analysis
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers