Clayton D. Scott

Artificial Intelligence · 2008–2017

A researcher in the Science corpus: 8 papers; trusts 99 researchers and is trusted by 76 researchers here, as inferred from the citation graph.

Subfields

Whom Clayton D. Scott trusts overall

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

  1. Ingo Steinwart
  2. Tong Zhang
  3. Peter L. Bartlett
  4. Yi Lin
  5. Bernhard Schölkopf
  6. Mark D. Reid
  7. Michael I. Jordan
  8. Paul A. Viola
  9. Eric R. Ziegel
  10. Joel A. Tropp

Who trusts Clayton D. Scott overall

  1. Harish Guruprasad Ramaswamy
  2. Krikamol Muandet
  3. Simon Lyddon
  4. Ziyu Xu
  5. Shivani Agarwal
  6. Kenji Fukumizu
  7. Andrew Cotter
  8. Christopher C. Holmes
  9. Izhak Golan
  10. Lukas Ruff

Papers from Clayton D. Scott's perspective

Ordered by how strongly the researchers Clayton D. Scott 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers