Yonatan Oren
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 4 papers; trusts 106 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 91 citations into it; #7,049 of 35,345 by trust here, #6,848 by citations
- Natural Language Processing — 64 citations into it; #1,263 of 5,688 by trust here, #1,366 by citations
- Computer Vision and Pattern Recognition — 38 citations into it; #7,006 of 21,575 by trust here, #6,426 by citations
- Evaluation & Benchmarks — 23 citations into it
- Representation & Self-Supervised Learning — 20 citations into it
- Safety, Robustness & Interpretability — 9 citations into it; #1,375 of 2,251 by trust here, #1,371 by citations
- Statistics and Probability — 9 citations into it
- Generative Models — 8 citations into it
Whom Yonatan Oren trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- John C. Duchi
- Ilya Sutskever
- Tomas Mikolov
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Alex Graves
Who trusts Yonatan Oren overall
- Shiori Sagawa
- Percy Liang
- Tatsunori B. Hashimoto
- Pang Wei Koh
- Polina Kirichenko
- Kelvin Guu
- Panupong Pasupat
- Rohan Taori
- Ekin Akyürek
- Evan Zheran Liu
Papers from Yonatan Oren's perspective
Ordered by how strongly the researchers Yonatan Oren trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Generating Sentences by Editing Prototypes (2017) — 326 citations
- Distributionally Robust Language Modeling (2019) — 210 citations
- Proving Test Set Contamination in Black Box Language Models (2023) — 251 citations
- A Retrieve-and-Edit Framework for Predicting Structured Outputs (2018) — 188 citations