Andrew J. Saykin

Psychiatry and Mental health · 2001–2023

A researcher in the Science corpus: 20 papers; trusts 48 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Andrew J. Saykin trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Alex Krizhevsky
  4. J. Urgen Schmidhuber
  5. Ilya Sutskever
  6. Yann LeCun
  7. L. Eon Bottou
  8. Paul J. Werbos
  9. Ruslan Salakhutdinov
  10. Radford M. Neal

Who trusts Andrew J. Saykin overall

  1. Hua Wang
  2. T. Ahles

Papers from Andrew J. Saykin's perspective

Ordered by how strongly the researchers Andrew J. Saykin 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers