Philippe Fournier-Viger

Computational Theory and Mathematics · 2014–2018

A researcher in the Science corpus: 5 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe Fournier-Viger trusts overall

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

  1. Mohammed J. Zaki
  2. Jiawei Han
  3. Mengchi Liu
  4. Rakesh Agrawal
  5. Jian Pei
  6. Jun-Feng Qu
  7. Bart Goethals
  8. Rayadurgam Srikant
  9. Xifeng Yan
  10. Vincent Shin-Mu Tseng

Who trusts Philippe Fournier-Viger overall

  1. Yixiang Fang
  2. Jerry Chun-Wei Lin

Papers from Philippe Fournier-Viger's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Fast Algorithms for Mining Association Rules
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers