Alain Tapp

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Alain Tapp trusts overall

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

  1. David Chaum
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. X. Zhang

Who trusts Alain Tapp overall

  1. Henry Corrigan-Gibbs
  2. Dan Boneh

Papers from Alain Tapp's perspective

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

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

Their papers