Philippe Hamel

Artificial Intelligence · 2010–2021

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe Hamel trusts overall

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

  1. George Tzanetakis
  2. Yoshua Bengio
  3. Geoffrey E. Hinton
  4. Chih-Jen Lin
  5. Honglak Lee
  6. Edith Law
  7. Michael I. Mandel
  8. Yann LeCun
  9. Tao Li
  10. Richard S. Sutton

Who trusts Philippe Hamel overall

  1. Jongpil Lee
  2. Eric Battenberg
  3. Xinxi Wang
  4. Martin Längkvist
  5. Sarah Monazam Erfani
  6. Paulo Eduardo Rauber
  7. Amirhossein Tavanaei
  8. Weibo Liu
  9. Yoshua Bengio
  10. Ye Wang

Papers from Philippe Hamel's perspective

Ordered by how strongly the researchers Philippe Hamel 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Going deeper with convolutions
  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