Shun-Yao Shih

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Shun-Yao Shih trusts overall

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

  1. Yoshua Bengio
  2. Yann LeCun
  3. Jeffrey L. Elman
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. G. Zhang
  7. Abdelhamid Bouchachia
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Kyunghyun Cho

Who trusts Shun-Yao Shih overall

  1. Chao Shang
  2. Saeed Rahmani
  3. Zonghan Wu
  4. Minhao Liu
  5. T. Zhang
  6. Jie Chen
  7. Asiye Baghbani
  8. Shirui Pan
  9. Ailing Zeng
  10. Yizhuo Zhang

Papers from Shun-Yao Shih's perspective

Ordered by how strongly the researchers Shun-Yao Shih 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers