C. L. Buckley

Artificial Intelligence · 2017–2023

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom C. L. Buckley trusts overall

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

  1. Karl J. Friston
  2. Geoffrey E. Hinton
  3. Radford M. Neal
  4. Rajesh P. N. Rao
  5. Andy Clark
  6. Peter S. Dayan
  7. Sergey Levine
  8. Richard S. Sutton
  9. Yoshua Bengio
  10. J. Urgen Schmidhuber

Who trusts C. L. Buckley overall

  1. Tomasz Korbak

Papers from C. L. Buckley's perspective

Ordered by how strongly the researchers C. L. Buckley 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers