Tse-Wei Chen

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tse-Wei Chen trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton

Papers from Tse-Wei Chen's perspective

Ordered by how strongly the researchers Tse-Wei Chen 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. Learning Multiple Layers of Features from Tiny Images
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Distilling the Knowledge in a Neural Network (arXiv.org)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. Densely Connected Convolutional Networks
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers