Alexander S. Rich

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Alexander S. Rich trusts overall

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

  1. Robyn M. Dawes
  2. Kate Crawford
  3. Richard S. Sutton
  4. Andrew Barto
  5. Jongbin Jung
  6. Robin M. Hogarth
  7. David Sculley
  8. Jerker Denrell
  9. Brenden M. Lake
  10. Gerd Gigerenzer

Who trusts Alexander S. Rich overall

  1. Andrew M. Saxe

Papers from Alexander S. Rich's perspective

Ordered by how strongly the researchers Alexander S. Rich 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. Reinforcement Learning: An Introduction
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  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. ImageNet Large Scale Visual Recognition Challenge

Their papers