Timothy Dozat
Artificial Intelligence · 2014–2022
A researcher in the Science corpus: 8 papers; trusts 103 researchers and is trusted by 333 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 100 citations into it; #9,068 of 35,345 by trust here, #10,430 by citations
- Natural Language Processing — 73 citations into it; #555 of 5,688 by trust here, #1,316 by citations
- Evaluation & Benchmarks — 28 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Model Architectures — 15 citations into it; #222 of 2,278 by trust here, #758 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Optimization & Training — 7 citations into it; #138 of 2,601 by trust here, #843 by citations
- Information Systems — 5 citations into it
Whom Timothy Dozat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Christopher D. Manning
- Geoffrey E. Hinton
- Tomas Mikolov
- Yoshua Bengio
- Ilya Sutskever
- Jimmy Ba
- Richard Socher
- Kristina Toutanova
- Alex Krizhevsky
Who trusts Timothy Dozat overall
- Dat Quoc Nguyen
- Sebastian Ruder
- Jongyoo Kim
- Diganta Misra
- Akisato Kimura
- Andrey Malinin
- Jungo Kasai
- Albert Zeyer
- D. Kondratyuk
- Yushu Chen
Papers from Timothy Dozat's perspective
Ordered by how strongly the researchers Timothy Dozat trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Universal Stanford dependencies: A cross-linguistic typology (2014) — 556 citations
- FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation (2022) — 27 citations
- A Gold Standard Dependency Corpus for English (2014) — 335 citations
- Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task (2017) — 234 citations
- Dialect-robust Evaluation of Generated Text (2022) — 28 citations
- Universal Dependencies 2.1 (2017) — 425 citations
- Deep Biaffine Attention for Neural Dependency Parsing (2016) — 1,337 citations
- Incorporating Nesterov Momentum into Adam (2016) — 2,074 citations