Taelim Choi

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Taelim Choi trusts overall

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

  1. Kaiming He
  2. X. Zhang
  3. Geoffrey E. Hinton
  4. Song Han
  5. Christian Szegedy
  6. Yoshua Bengio
  7. Yann LeCun
  8. Alex Krizhevsky
  9. Sergey Ioffe
  10. David John Cameron MacKay

Who trusts Taelim Choi overall

  1. Shaohui Lin

Papers from Taelim Choi's perspective

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

Their papers