Lawrence Phillips

Representation & Self-Supervised Learning · 2001–2018

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lawrence Phillips trusts overall

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

  1. Gregory R. Koch
  2. Yann LeCun
  3. Oriol Vinyals
  4. Geoffrey E. Hinton
  5. Chelsea Finn
  6. Yoshua Bengio
  7. Sachin Ravi
  8. Kaiming He
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Lawrence Phillips overall

  1. Alex Hernandez-Garcia
  2. Debasmit Das
  3. Liang Song

Papers from Lawrence Phillips's perspective

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

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

Their papers