Ashley Prater-Bennette

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ashley Prater-Bennette trusts overall

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

  1. Arslan Chaudhry
  2. Geoffrey E. Hinton
  3. Marc'Aurelio Ranzato

Papers from Ashley Prater-Bennette's perspective

Ordered by how strongly the researchers Ashley Prater-Bennette 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. ImageNet: A large-scale hierarchical image database
  10. Long Short-Term Memory

Their papers