Thibaut Lavril

Artificial Intelligence · 2018–2024

A researcher in the Science corpus: 12 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thibaut Lavril trusts overall

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

  1. Yoshua Bengio
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. Ilya Sutskever
  6. Alex Krizhevsky
  7. Noam Shazeer
  8. Sepp Hochreiter
  9. Yann LeCun
  10. J. Urgen Schmidhuber

Who trusts Thibaut Lavril overall

  1. Renrui Zhang
  2. Peng Gao
  3. Xiangyu Qi
  4. Songlin Yang
  5. Jesse Mu
  6. Zheng Yuan
  7. Bo Li
  8. Hao Shao
  9. Weijia Shi
  10. Ji Lin

Papers from Thibaut Lavril's perspective

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

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

Their papers