Eric Langlois

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Langlois trusts overall

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

  1. Richard S. Sutton
  2. Ronald J. Williams
  3. Tom Everitt
  4. Laurent Orseau
  5. Tommi S. Jaakkola
  6. Christian P. Robert
  7. Shixiang Shane Gu
  8. Michael I. Jordan
  9. Satinder Singh
  10. Jan Leike

Who trusts Eric Langlois overall

  1. Tom Everitt

Papers from Eric Langlois's perspective

Ordered by how strongly the researchers Eric Langlois 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Reinforcement Learning: An Introduction
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers