Donald E. Brown

Artificial Intelligence · International Conference on Machine Learning and Applications · 2005–2019

A researcher in the Science corpus: 4 papers; trusts 60 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Donald E. Brown trusts overall

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

  1. Geoffrey E. Hinton
  2. Yann LeCun
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. David M. Blei
  6. L. Eon Bottou
  7. Thorsten Joachims
  8. Ilya Sutskever
  9. Alex Krizhevsky
  10. Radford M. Neal

Who trusts Donald E. Brown overall

  1. Ammar Ismael Kadhim
  2. Martin Hilbert
  3. Panagiotis C. Petrantonakis
  4. Qian Li
  5. Shervin Minaee

Papers from Donald E. Brown's perspective

Ordered by how strongly the researchers Donald E. Brown 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers