Barak Lenz

Natural Language Processing · 2019–2024

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

Subfields

• Natural Language Processing — 35 citations into it
• Evaluation & Benchmarks — 16 citations into it

Whom Barak Lenz trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Mohammad Taher Pilehvar
4. Ilya Sutskever
5. Diederik P. Kingma
6. Noam Shazeer
7. Alex Krizhevsky
8. Kaiming He
9. Tomas Mikolov
10. Jacob Devlin

Papers from Barak Lenz's perspective

Ordered by how strongly the researchers Barak Lenz 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• SenseBERT: Driving Some Sense into BERT (2019) — 203 citations
• Jamba: A Hybrid Transformer-Mamba Language Model (2024) — 467 citations