N. Williams

Sociology and Political Science · with Casas · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom N. Williams trusts overall

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

  1. Ted Brader
  2. G. Marcus
  3. Sandra González-Bailón
  4. Nicholas A. Valentino

Papers from N. Williams's perspective

Ordered by how strongly the researchers N. 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers