R. S. Williams

Electrical and Electronic Engineering · Nature · 2000–2020

A researcher in the Science corpus: 33 papers; trusts 34 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom R. S. Williams trusts overall

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

  1. Dmitri B. Strukov
  2. Suhas Kumar
  3. Geoffrey E. Hinton
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Konstantin K. Likharev
  7. Ilya Sutskever

Who trusts R. S. Williams overall

  1. Yuriy V. Pershin
  2. Shahar Kvatinsky
  3. Gerard David Howard
  4. J. Joshua Yang
  5. Mohammed Affan Zidan
  6. John Paul Strachan
  7. Bharathwaj Muthuswamy
  8. Rainer Waser
  9. Vinod K. Sangwan
  10. Suhas Kumar

Papers from R. S. Williams's perspective

Ordered by how strongly the researchers R. S. Williams 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. Long Short-Term Memory
  5. Going deeper with convolutions
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Visualizing and Understanding Convolutional Networks
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

Their papers