Philippe Vandermersch

2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 21 researchers here, as inferred from the citation graph.

Whom Philippe Vandermersch trusts overall

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

  1. Henry S. Warren Jr.

Who trusts Philippe Vandermersch overall

  1. Garrett B. Goh
  2. Yihui He
  3. Simon Niklaus
  4. Ji Lin
  5. Charles Siegel
  6. Min Wang
  7. Matei A. Zaharia
  8. Shimeng Yu
  9. Awni Y. Hannun
  10. Song Han

Papers from Philippe Vandermersch's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Going deeper with convolutions
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Torch7: A Matlab-like Environment for Machine Learning

Their papers