James Laudon

Artificial Intelligence · 2006–2022

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom James Laudon trusts overall

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

  1. Christian Szegedy
  2. Sergey Ioffe
  3. Noam Shazeer

Who trusts James Laudon overall

  1. Onur Mutlu
  2. Thomas Moscibroda
  3. Yoongu Kim
  4. Jichuan Chang

Papers from James Laudon's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. Large Scale Distributed Deep Networks
  6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  7. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  8. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  9. Identity Mappings in Deep Residual Networks
  10. Improving Language Understanding by Generative Pre-Training

Their papers