Tuka Al Hanai

Interspeech · 2018

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

Whom Tuka Al Hanai trusts overall

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

  1. Quoc V. Le
  2. Berkeley J. Dietvorst
  3. Jonathan Gratch
  4. S. Gilbody
  5. Tomas Mikolov
  6. Xingchen Ma
  7. K. Kroenke
  8. A. Ferrari
  9. Michel François Valstar
  10. Geoffrey E. Hinton

Papers from Tuka Al Hanai's perspective

Ordered by how strongly the researchers Tuka Al Hanai 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. Long Short-Term Memory
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers