Chris Purdy

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Purdy trusts overall

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

  1. George A. Miller
  2. Melissa Roemmele
  3. Ilya Sutskever
  4. Sepp Hochreiter
  5. Mark O. Riedl
  6. Karin Kipper Schuler
  7. Christopher D. Manning
  8. J. Urgen Schmidhuber
  9. Oriol Vinyals
  10. Lara J. Martin

Who trusts Chris Purdy overall

  1. Angela Fan

Papers from Chris Purdy's perspective

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

  1. Long Short-Term Memory
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. WordNet: A Lexical Database for English
  10. Learning Multiple Layers of Features from Tiny Images

Their papers