Yean Shan Beh

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yean Shan Beh trusts overall

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

  1. Richard S. Sutton
  2. Michael I. Jordan

Papers from Yean Shan Beh's perspective

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

  1. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning to Forget: Continual Prediction with LSTM
  9. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  10. ImageNet: A large-scale hierarchical image database

Their papers