Byron Knoll

Artificial Intelligence · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Byron Knoll trusts overall

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

  1. Matthew V. Mahoney
  2. Alex Krizhevsky
  3. Adam Coates
  4. Ilya Sutskever
  5. Geoffrey E. Hinton
  6. Andrew Y. Ng
  7. Ian H. Witten
  8. Richard Maclin
  9. Eamonn J. Keogh
  10. Robert A. Jacobs

Who trusts Byron Knoll overall

  1. Alex Graves
  2. Marijn F. Stollenga
  3. Jonathan Masci
  4. J. Urgen Schmidhuber
  5. Faustino J. Gomez

Papers from Byron Knoll's perspective

Ordered by how strongly the researchers Byron Knoll 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. Learning Multiple Layers of Features from Tiny Images
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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