Matthias Gallé

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthias Gallé trusts overall

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

  1. Yoshua Bengio
  2. Alex Graves
  3. Taku Kudo
  4. Geoffrey E. Hinton

Papers from Matthias Gallé's perspective

Ordered by how strongly the researchers Matthias Gallé 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. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Long Short-Term Memory
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  8. Gradient-based learning applied to document recognition
  9. Language Models are Unsupervised Multitask Learners
  10. Language Models are Few-Shot Learners (Neural Information Processing Systems)

Their papers