Hunter Henry

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hunter Henry trusts overall

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

  1. Richard S. Sutton
  2. Geoffrey E. Hinton
  3. J. Urgen Schmidhuber
  4. Marc G. Bellemare
  5. Alex Krizhevsky
  6. Kaiming He
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. John Schulman
  10. Yann LeCun

Papers from Hunter Henry's perspective

Ordered by how strongly the researchers Hunter Henry 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. Long Short-Term Memory
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Human-level control through deep reinforcement learning
  9. ImageNet: A large-scale hierarchical image database
  10. Reinforcement Learning: An Introduction

Their papers