William M. Campbell

Artificial Intelligence · 2006–2011

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 29 researchers here, as inferred from the citation graph.

Subfields

Whom William M. Campbell trusts overall

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

  1. Ronan Collobert
  2. Douglas A. Reynolds
  3. Samy Bengio
  4. Thomas F. Quatieri
  5. Patrick Kenny
  6. Tommi S. Jaakkola
  7. Hervé Bourlard
  8. Robert B. Dunn
  9. Geoffrey E. Hinton
  10. David Haussler

Who trusts William M. Campbell overall

  1. Ming Li
  2. Tomi H. Kinnunen
  3. Haizhou Li
  4. Shuai Wang
  5. Lara Stoll
  6. Ahmad Salman
  7. Najim Dehak
  8. L. V. D. van der Maaten
  9. Weicheng Cai
  10. Zhongxin Bai

Papers from William M. Campbell's perspective

Ordered by how strongly the researchers William M. Campbell 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers