Mickael Rouvier

Artificial Intelligence · 2013–2024

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Mickael Rouvier trusts overall

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

  1. Najim Dehak
  2. Guillaume Gravier
  3. Sylvain Meignier
  4. Patrick Kenny
  5. Daniel Povey
  6. Réda Dehak
  7. Gilles Adda
  8. Pierre Dumouchel
  9. Yoshua Bengio
  10. Geoffrey E. Hinton

Who trusts Mickael Rouvier overall

  1. Erica Cooper
  2. Jörgen Valk
  3. Yanick X. Lukic
  4. Xavier Anguera Miró
  5. Thomas Zenkel
  6. Javier Iranzo-Sánchez
  7. Tanel Alumäe
  8. Carlo Vogt
  9. Jordi Luque
  10. Pierre-Michel Bousquet

Papers from Mickael Rouvier's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Language Models are Unsupervised Multitask Learners
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers