J. Brush

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom J. Brush trusts overall

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

  1. Matthew D. Zeiler
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton

Who trusts J. Brush overall

  1. Guy Katz
  2. Clark W. Barrett
  3. Shiqi Wang

Papers from J. Brush's perspective

Ordered by how strongly the researchers J. Brush 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. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Efficient BackProp
  7. Learning Multiple Layers of Features from Tiny Images
  8. ADADELTA: An Adaptive Learning Rate Method
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers