Gavin Taylor

Artificial Intelligence · 2008–2020

A researcher in the Science corpus: 9 papers; trusts 182 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Gavin Taylor trusts overall

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

  1. Radford M. Neal
  2. Tom Goldstein
  3. Alex Krizhevsky
  4. Justin A. Boyan
  5. Geoffrey E. Hinton
  6. Yoshua Bengio
  7. Yann LeCun
  8. Ilya Sutskever
  9. Ronald E. Parr
  10. Richard S. Sutton

Who trusts Gavin Taylor overall

  1. Csaba Szepesvari
  2. Amir-massoud Farahmand
  3. Jan Peters
  4. Herke Van Hoof
  5. Gerhard Neumann
  6. Oliver Kroemer
  7. Christoph Dann
  8. Yihao Feng
  9. Jason Pazis
  10. Lihong Li

Papers from Gavin Taylor's perspective

Ordered by how strongly the researchers Gavin Taylor 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  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