Colin Campbell

Artificial Intelligence · with Ying · 2000–2011

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Colin Campbell trusts overall

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

  1. Peter L. Bartlett
  2. Vladimir Naumovich Vapnik
  3. Thorsten Joachims
  4. John Shawe-Taylor
  5. Nello Cristianini
  6. Yurii E. Nesterov
  7. Bernhard Schölkopf
  8. Alex Smola
  9. Charles A. Micchelli
  10. Tong Zhang

Who trusts Colin Campbell overall

  1. Bharath K. Sriperumbudur
  2. Hashem A. Shihab
  3. Emilio Carrizosa
  4. Anastasia Pentina
  5. Zuyu Yin
  6. Mark F. Rogers
  7. Chang Xu
  8. Andrew B. Gardner
  9. Hyunchul Kim
  10. João Maroco

Papers from Colin Campbell's perspective

Ordered by how strongly the researchers Colin Campbell 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers