David M. Budden

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 16 papers; trusts 584 researchers and is trusted by 61 researchers here, as inferred from the citation graph.

Subfields

Whom David M. Budden trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Yoshua Bengio
  5. Richard S. Sutton
  6. Ilya Sutskever
  7. Yann LeCun
  8. Kaiming He
  9. Jimmy Ba
  10. Alex Graves

Who trusts David M. Budden overall

  1. Danijar Hafner
  2. T. Paine
  3. Pieter Abbeel
  4. Michael Tschannen
  5. Yochai Blau
  6. Sergey Levine
  7. Yuxi Li
  8. Danfei Xu
  9. Eirikur Agustsson
  10. Caglar Gulcehre

Papers from David M. Budden's perspective

Ordered by how strongly the researchers David M. Budden 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. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers