Kelsey R. McDonald

Cognitive Neuroscience · 2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kelsey R. McDonald trusts overall

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

  1. Richard S. Sutton
  2. Alan G. Sanfey
  3. Michael H. Bowling
  4. Geoffrey E. Hinton
  5. Colin F. Camerer
  6. Alex Krizhevsky
  7. Rebecca Saxe
  8. Michael L. Littman
  9. Andrew Barto
  10. Josh Tenenbaum

Papers from Kelsey R. McDonald's perspective

Ordered by how strongly the researchers Kelsey R. McDonald 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Reinforcement Learning: An Introduction
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers