Philip R. Leduc

Artificial intelligence for engineering design, analysis and manufacturing · with Cagan · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Philip R. Leduc trusts overall

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

  1. Tomas Mikolov

Papers from Philip R. Leduc's perspective

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

  1. Exploiting Similarities among Languages for Machine Translation
  2. A Universally Unique IDentifier (UUID) URN Namespace (Request for Comments)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Gradient-based learning applied to document recognition
  10. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

Their papers