Tiffany Tuor

Artificial Intelligence · 2018

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Tiffany Tuor trusts overall

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

  1. L. Eon Bottou
  2. Shai Shalev-Shwartz
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Richard S. Sutton
  6. Yoshua Bengio
  7. Geoffrey E. Hinton
  8. Shiqiang Wang
  9. Kevin Hsieh
  10. Sébastien Bubeck

Who trusts Tiffany Tuor overall

  1. Umair Mohammad
  2. Sameh Sorour
  3. Lumin Liu
  4. Dinh C. Nguyen
  5. Ahmed Khaled
  6. Khaled Ben Letaief
  7. Shiqiang Wang
  8. Jihong Park
  9. Howard H. Yang
  10. Tian Li

Papers from Tiffany Tuor's perspective

Ordered by how strongly the researchers Tiffany Tuor trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Learning Multiple Layers of Features from Tiny Images
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers