Matthew Eric Otey

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthew Eric Otey trusts overall

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

  1. Thorsten Joachims
  2. Radford M. Neal
  3. Tong Zhang
  4. Martin A. Zinkevich
  5. Muthu Dayalan
  6. Shai Shalev-Shwartz
  7. Simon Tong
  8. John C. Duchi
  9. David M. Blei
  10. Andrew Y. Ng

Papers from Matthew Eric Otey's perspective

Ordered by how strongly the researchers Matthew Eric Otey 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Their papers