C. Lassance

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom C. Lassance trusts overall

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

  1. Sebastian Hofstätter
  2. Nils Reimers
  3. Omar Khattab
  4. Tiancheng Zhao
  5. Thibault Formal
  6. Siu Kwan Lam
  7. Nick Craswell
  8. Geoffrey E. Hinton
  9. Rodrigo Nogueira
  10. Zhuyun Dai

Who trusts C. Lassance overall

  1. Niklas Muennighoff
  2. Keshav Santhanam

Papers from C. Lassance's perspective

Ordered by how strongly the researchers C. Lassance 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Long Short-Term Memory
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)

Their papers