Calton Pu

Artificial Intelligence · 2000–2019

A researcher in the Science corpus: 6 papers; trusts 11 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Calton Pu trusts overall

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

  1. Cynthia Dwork
  2. Yann LeCun
  3. Kamalika Chaudhuri
  4. Yoshua Bengio
  5. Karen Simonyan
  6. Frank McSherry
  7. Geoffrey E. Hinton
  8. Bryan Klimt
  9. Alex Krizhevsky
  10. Mark Bun

Who trusts Calton Pu overall

  1. Panupong Pasupat
  2. Arvind Arasu
  3. Jiying Wang
  4. Chia-Hui Chang
  5. Dr. Matthias Seeger

Papers from Calton Pu's perspective

Ordered by how strongly the researchers Calton Pu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers