Richard L. Phillips

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard L. Phillips trusts overall

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

  1. Harrison Edwards
  2. Scott M. Lundberg
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Diederik P. Kingma
  6. David Madras
  7. Alex Krizhevsky
  8. T. Chen
  9. Alireza Makhzani
  10. Kaiming He

Who trusts Richard L. Phillips overall

  1. Charles Marx

Papers from Richard L. Phillips's perspective

Ordered by how strongly the researchers Richard L. 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. Gradient-based learning applied to document recognition
  5. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers