Bill G. Horne

Model Architectures · 1994–1997

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Bill G. Horne trusts overall

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

  1. J. Urgen Schmidhuber
  2. George V. Cybenko
  3. Ronald J. Williams
  4. Geoffrey E. Hinton
  5. David E. Rumelhart
  6. Russell Reed
  7. Yann LeCun
  8. Stephen Jose Hanson
  9. Yoshua Bengio
  10. Hava T. Siegelmann

Who trusts Bill G. Horne overall

  1. Alex Graves
  2. J. Urgen Schmidhuber
  3. Yoshua Bengio
  4. José Maria P. Menezes
  5. Eugen Diaconescu
  6. Sepp Hochreiter
  7. Thomas G. Dietterich
  8. Danilo P. Mandic
  9. Romuald Boné
  10. Pratik Chaudhari

Papers from Bill G. Horne's perspective

Ordered by how strongly the researchers Bill G. Horne 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. Learning internal representations by error propagation
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers