Llew Mason

Artificial Intelligence · 1999–2007

A researcher in the Science corpus: 5 papers; trusts 8 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

Whom Llew Mason trusts overall

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

  1. Jerome H. Friedman
  2. Leo Breiman
  3. Robert E. Schapire
  4. Yoav Freund
  5. Thomas G. Dietterich
  6. Peter L. Bartlett
  7. Yoram Singer
  8. Holger Schwenk
  9. Eric Bauer
  10. Gunnar Rätsch

Who trusts Llew Mason overall

  1. Nathan D. Ratliff
  2. Pascal Vincent
  3. J. Bagnell
  4. Yoshua Bengio
  5. Iasonas Kokkinos
  6. Peter Buhlmann
  7. Robert E. Schapire
  8. Cha Zhang
  9. Jun-Yan Zhu
  10. Franccois Fleuret

Papers from Llew Mason's perspective

Ordered by how strongly the researchers Llew Mason trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers