Ray R. Larson

Artificial Intelligence · 2008

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 98 researchers here, as inferred from the citation graph.

Subfields

Whom Ray R. Larson trusts overall

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

  1. Thorsten Joachims
  2. Paolo Boldi
  3. Michal Rosen-Zvi
  4. W. Bruce Croft
  5. Robert E. Schapire
  6. Radford M. Neal
  7. Yiming Yang
  8. Jon M. Kleinberg
  9. Andrew Y. Ng
  10. Geoffrey E. Hinton

Who trusts Ray R. Larson overall

  1. Edward Grefenstette
  2. Rohit J. Kate
  3. Vahed Qazvinian
  4. Claire Fautsch
  5. Margaret E. Roberts
  6. Kai Han
  7. Fan Zhu
  8. Seung-Jin Ryu
  9. Min Lyu
  10. Yang Liu

Papers from Ray R. Larson's perspective

Ordered by how strongly the researchers Ray R. Larson 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. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers