Benjamin Jackson Culpepper

Computer Vision and Pattern Recognition · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Jackson Culpepper trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Marc'Aurelio Ranzato
  4. Chih-Jen Lin
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. A. Horowitz
  8. Tijmen Tieleman
  9. Roland Memisevic
  10. Yann LeCun

Who trusts Benjamin Jackson Culpepper overall

  1. Jascha Narain Sohl-Dickstein
  2. Daniel Zoran
  3. Yichuan Tang
  4. Mayur Mudigonda
  5. Yair Weiss
  6. Ruslan Salakhutdinov
  7. Daniel Lévy
  8. A. Berger
  9. Michael Robert DeWeese
  10. Geoffrey E. Hinton

Papers from Benjamin Jackson Culpepper's perspective

Ordered by how strongly the researchers Benjamin Jackson Culpepper 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers