Ben London

Artificial Intelligence · 2012–2018

A researcher in the Science corpus: 7 papers; trusts 92 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ben London trusts overall

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

  1. David A. McAllester
  2. J. Langford
  3. Martin J. Wainwright
  4. B. Taskar
  5. Mehryar Mohri
  6. Alex Krizhevsky
  7. John Shawe-Taylor
  8. Matthias W. Seeger
  9. Thorsten Joachims
  10. Olivier Catoni

Who trusts Ben London overall

  1. Lingxiao Huang
  2. Ilja Kuzborskij
  3. Ankit Pensia
  4. Bert Huang
  5. Noveen Sachdeva
  6. Nisheeth K. Vishnoi
  7. Christoph H. Lampert
  8. Lise Getoor
  9. Varun Jog
  10. Pascal Germain

Papers from Ben London's perspective

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

Their papers