Chia-ying Lee

Artificial Intelligence · with Glass · 2001–2015

A researcher in the Science corpus: 6 papers; trusts 100 researchers and is trusted by 53 researchers here, as inferred from the citation graph.

Subfields

Whom Chia-ying Lee trusts overall

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

  1. James R. Glass
  2. Frederick Jelinek
  3. John K. Kruschke
  4. Radford M. Neal
  5. Yaodong Zhang
  6. Sharon Goldwater
  7. Mark Johnson
  8. Michael I. Jordan
  9. Carl E. Rasmussen
  10. T. Griffiths

Who trusts Chia-ying Lee overall

  1. David F. Harwath
  2. Herman Kamper
  3. James R. Glass
  4. Aren Jansen
  5. Thomas Schatz
  6. Leonardo Badino
  7. Wei-Ning Hsu
  8. Alexei Baevski
  9. Sharon Goldwater
  10. Zheng-Hua Tan

Papers from Chia-ying Lee's perspective

Ordered by how strongly the researchers Chia-ying Lee 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers