Omer Tamuz

Artificial Intelligence · 2005–2013

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it

Whom Omer Tamuz trusts overall

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

1. Sumit Gulwani
2. Soo-Chang Pei
3. Percy Liang
4. Susmit Jha
5. Tessa A. Lau

Who trusts Omer Tamuz overall

1. J. Winn
2. M. Brogi
3. J. Birkby
4. Suzanne Aigrain
5. Augustus Odena
6. Z. K. Berta
7. Remco J. de Kok
8. R. Poleski
9. D. Charbonneau
10. D. Pollacco

Papers from Omer Tamuz's perspective

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

1. Learning Programs: A Hierarchical Bayesian Approach
2. Oracle-guided component-based program synthesis
3. Attention is All you Need (Neural Information Processing Systems)
4. Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models
5. Spreadsheet data manipulation using examples
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet classification with deep convolutional neural networks
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Gradient-based learning applied to document recognition

Their papers

• A Machine Learning Framework for Programming by Example (2013) — 165 citations
• Correcting systematic effects in a large set of photometric light curves (2005) — 397 citations