Isabelle Lajoie

Representation & Self-Supervised Learning · 2010

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1,119 researchers here, as inferred from the citation graph.

Subfields

Whom Isabelle Lajoie trusts overall

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

  1. Barbara Olshausen
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Anthony J. Bell
  5. John J. Hopfield
  6. Ralph Linsker
  7. Hugo Larochelle
  8. Yann LeCun
  9. Terrence J. Sejnowski
  10. David J. Field

Who trusts Isabelle Lajoie overall

  1. Yoshua Bengio
  2. Kyunghyun Cho
  3. Hao Wang
  4. Li Deng
  5. Sergey Levine
  6. Quoc V. Le
  7. Kaiming He
  8. Pascal Vincent
  9. Ruslan Salakhutdinov
  10. Trevor Darrell

Papers from Isabelle Lajoie's perspective

Ordered by how strongly the researchers Isabelle Lajoie 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. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Deep Architectures for AI
  10. ImageNet: A large-scale hierarchical image database

Their papers