Miles Brundage

Artificial Intelligence · 2013–2023

A researcher in the Science corpus: 13 papers; trusts 59 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Miles Brundage trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Richard S. Sutton
  6. J. Urgen Schmidhuber
  7. Yann LeCun
  8. Ilya Sutskever
  9. Sergey Levine
  10. Kaiming He

Who trusts Miles Brundage overall

  1. Irene Solaiman
  2. Jeff Clune
  3. L. Varshney
  4. Nitish Shirish Keskar
  5. Samuel R. Bowman
  6. Bo Li
  7. Jess Whittlestone
  8. Emily Sheng
  9. Paul Denny
  10. Vincent François-Lavet

Papers from Miles Brundage's perspective

Ordered by how strongly the researchers Miles Brundage 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers