Lee E. Miller

Cognitive Neuroscience · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Lee E. Miller trusts overall

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

  1. James Bergstra
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Chih-Jen Lin
  6. Stephen H. Scott
  7. Radford M. Neal

Papers from Lee E. Miller's perspective

Ordered by how strongly the researchers Lee E. Miller trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Dropout: a simple way to prevent neural networks from overfitting
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  10. ImageNet: A large-scale hierarchical image database

Their papers