Bradley Hayes

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 4 papers; trusts 35 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Bradley Hayes trusts overall

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

  1. Richard S. Sutton
  2. Andrew Barto
  3. Raja Parasuraman
  4. Iris Vessey
  5. Xavier Leroy
  6. Pieter Abbeel
  7. Andrew Y. Ng
  8. R. Fikes
  9. Leslie Pack Kaelbling
  10. William D. Smart

Who trusts Bradley Hayes overall

  1. Ronald P. A. Petrick
  2. Jasper van der Waa
  3. Cynthia Rudin
  4. De-An Huang
  5. Julie Arnold Shah
  6. Tim Miller
  7. Mary Ellen Foster
  8. Atoosa Kasirzadeh
  9. Elisabeth Nieuwburg
  10. Zhi Chen

Papers from Bradley Hayes's perspective

Ordered by how strongly the researchers Bradley Hayes 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. Human-level control through deep reinforcement learning
  10. Learning Multiple Layers of Features from Tiny Images

Their papers