Brian Knott

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Knott trusts overall

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

  1. Cynthia Dwork
  2. Payman Mohassel
  3. Geoffrey E. Hinton
  4. Ilya Mironov
  5. Yann LeCun
  6. Kaiming He
  7. Pascal Paillier
  8. Eike Kiltz
  9. Ivan Bjerre Damgård
  10. Sameer Wagh

Who trusts Brian Knott overall

  1. Fahad Shamshad
  2. Bo Li

Papers from Brian Knott's perspective

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

Their papers