Yair Lakretz

Artificial Intelligence · 2019–2023

A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Yair Lakretz trusts overall

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

  1. Jeffrey S. Bowers
  2. Tal Linzen
  3. Jean-Remi King
  4. Yoshua Bengio
  5. Mario Giulianelli
  6. Geoffrey E. Hinton
  7. Yoav Goldberg
  8. Sepp Hochreiter
  9. Alex Graves
  10. Jeffrey L. Elman

Who trusts Yair Lakretz overall

  1. Yonatan Belinkov
  2. Jaap Jumelet
  3. Kaiji Lu
  4. Yanai Elazar
  5. Dieuwke Hupkes
  6. Nadir Durrani
  7. Matthew Finlayson
  8. Marco Baroni
  9. Willem H. Zuidema
  10. Charlotte Caucheteux

Papers from Yair Lakretz's perspective

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

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

Their papers