Mei-Yuh Hwang

Artificial Intelligence · 2006–2019

A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Mei-Yuh Hwang trusts overall

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

  1. Geoffrey E. Hinton
  2. Tomas Mikolov
  3. Yoshua Bengio
  4. Diederik P. Kingma
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Alex Graves
  9. Oriol Vinyals
  10. Jimmy Ba

Who trusts Mei-Yuh Hwang overall

  1. Jianping Gou
  2. Grégoire Mesnil

Papers from Mei-Yuh Hwang's perspective

Ordered by how strongly the researchers Mei-Yuh Hwang 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. 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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers