Chia Dai

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chia Dai trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Christian Szegedy
  5. Karen Simonyan
  6. Kaiming He
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Sergey Ioffe
  10. Xavier Glorot

Who trusts Chia Dai overall

  1. Sajjad Abdoli
  2. David W. Romero

Papers from Chia Dai's perspective

Ordered by how strongly the researchers Chia Dai 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. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers