Clément Rebuffel

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Clément Rebuffel trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ilya Sutskever
  5. Mihir Kale
  6. Jimmy Ba
  7. Katja Filippova
  8. Matt Post
  9. Alex Krizhevsky
  10. Jacob Devlin

Who trusts Clément Rebuffel overall

  1. Yi-Ting Yeh
  2. Zihao Fu
  3. Ziwei Ji
  4. Nayeon Lee
  5. Thomas Scialom

Papers from Clément Rebuffel's perspective

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

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

Their papers