Carnegie Mellon

Computer Vision and Pattern Recognition · with Baker · 2000–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Carnegie Mellon trusts overall

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

  1. David M. Blei
  2. Geoffrey E. Hinton
  3. Ruslan Salakhutdinov

Who trusts Carnegie Mellon overall

  1. Li Fei-Fei

Papers from Carnegie Mellon's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Et al
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers