Boris Defourny

Reinforcement Learning · 2011–2013

A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Boris Defourny trusts overall

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

  1. Alexander Shapiro
  2. Yuhai Wu
  3. Thomas G. Dietterich
  4. D. Kühn
  5. Ingo Steinwart
  6. Michael Grant
  7. John N. Tsitsiklis
  8. Anatoli B. Juditsky
  9. Kjetil Høyland
  10. Hado van Hasselt

Who trusts Boris Defourny overall

  1. Che Wang

Papers from Boris Defourny's perspective

Ordered by how strongly the researchers Boris Defourny 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Reinforcement Learning: An Introduction
  7. Learning Multiple Layers of Features from Tiny Images
  8. Long Short-Term Memory
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers