Raymond W. M. Ng

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Raymond W. M. Ng trusts overall

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

  1. Daniel Povey
  2. David Snyder
  3. Geoffrey E. Hinton
  4. L. V. D. van der Maaten
  5. Oriol Vinyals
  6. Sanjeev Khudanpur
  7. Vijayaditya Peddinti
  8. Daniel Garcia-Romero
  9. Mitchell McLaren
  10. Ehsan Variani

Papers from Raymond W. M. Ng's perspective

Ordered by how strongly the researchers Raymond W. M. Ng trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Long Short-Term Memory
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  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. ImageNet: A large-scale hierarchical image database

Their papers