Michal Guerquin

Artificial Intelligence · 2019

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Michal Guerquin trusts overall

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

  1. Daniel Khashabi
  2. Peter Clark
  3. Rowan Zellers
  4. Tushar Khot
  5. Leo Breiman
  6. Geoffrey E. Hinton
  7. Yoshua Bengio
  8. Jacob Devlin
  9. Peter Alexander Jansen
  10. Diederik P. Kingma

Who trusts Michal Guerquin overall

  1. Swaroop Mishra
  2. Daniel Khashabi
  3. Chitta Baral
  4. Tushar Khot
  5. Kyle Richardson
  6. Peter Clark

Papers from Michal Guerquin's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Long Short-Term Memory
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet classification with deep convolutional neural networks
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Language Models are Unsupervised Multitask Learners
  8. ImageNet: A large-scale hierarchical image database
  9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers