Yu Ting Yeung

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Ting Yeung trusts overall

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

  1. Diederik P. Kingma
  2. Jean-Marc Valin
  3. Jimmy Ba

Papers from Yu Ting Yeung's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Long Short-Term Memory
  4. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Attention-Based Models for Speech Recognition
  8. Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions
  9. Gradient-based learning applied to document recognition
  10. WaveNet: A Generative Model for Raw Audio

Their papers