Chien-yu Huang

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chien-yu Huang trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. Daniel Povey
  5. Rodrigo Malacarne
  6. David Snyder
  7. Vassil Panayotov
  8. Alex Krizhevsky
  9. L. V. D. van der Maaten
  10. Alex Graves

Who trusts Chien-yu Huang overall

  1. Sung-Feng Huang

Papers from Chien-yu Huang's perspective

Ordered by how strongly the researchers Chien-yu Huang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Auto-Encoding Variational Bayes (International Conference on Learning Representations)

Their papers