William N. Havard

Artificial Intelligence · 2019

A researcher in the Science corpus: 3 papers; trusts 50 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom William N. Havard trusts overall

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

  1. Grzegorz Chrupała
  2. David F. Harwath
  3. Afra Alishahi
  4. Karen Simonyan
  5. Emmanuel Dupoux
  6. Tsung-Yi Lin
  7. James R. Glass
  8. Geoffrey E. Hinton
  9. Andrew Zisserman
  10. Antonio Torralba

Who trusts William N. Havard overall

  1. David F. Harwath
  2. Wei-Ning Hsu
  3. James R. Glass
  4. Christopher Song

Papers from William N. Havard's perspective

Ordered by how strongly the researchers William N. Havard 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Microsoft COCO: Common Objects in Context

Their papers