Anthony Traboulsee

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 6 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Anthony Traboulsee trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Matthew D. Zeiler
  4. Yann LeCun

Papers from Anthony Traboulsee's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Learning Multiple Layers of Features from Tiny Images
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. A Fast Learning Algorithm for Deep Belief Nets
  6. This PDF file includes: Materials and Methods
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  9. Fully convolutional networks for semantic segmentation
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers