Christopher Bates

2015

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Whom Christopher Bates trusts overall

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

  1. Mary Hegarty
  2. Joseph J Monaghan
  3. Alex Krizhevsky
  4. Kenneth D. Forbus
  5. Ilya Sutskever
  6. Geoffrey E. Hinton
  7. Kevin A. Smith

Who trusts Christopher Bates overall

  1. Michael Chang
  2. Tomer D. Ullman
  3. Josh Tenenbaum

Papers from Christopher Bates's perspective

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

Their papers