Kevin M. Carter

Artificial Intelligence · 2009–2016

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin M. Carter trusts overall

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

  1. Ted Chang
  2. R. Golden
  3. Mikhail Belkin
  4. S. Mancell
  5. Josh Tenenbaum
  6. Jarkko Venna
  7. Partha Niyogi
  8. Clayton V. Deutsch
  9. Eric R. Ziegel
  10. Shun-ichi Amari

Papers from Kevin M. Carter's perspective

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

  1. A global geometric framework for nonlinear dimensionality reduction.
  2. Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet classification with deep convolutional neural networks
  6. The Elements of Statistical Learning
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers