Isaac Caswell
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 11 papers; trusts 280 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 289 citations into it; #8,159 of 35,345 by trust here, #4,063 by citations
- Natural Language Processing — 275 citations into it; #1,935 of 5,688 by trust here, #1,092 by citations
- Computer Vision and Pattern Recognition — 130 citations into it
- Evaluation & Benchmarks — 69 citations into it; #1,961 of 3,147 by trust here, #1,371 by citations
- Large Language Models — 29 citations into it
- Model Architectures — 24 citations into it
- Machine Translation — 21 citations into it; #116 of 292 by trust here, #114 by citations
- Representation & Self-Supervised Learning — 21 citations into it
Whom Isaac Caswell trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rico Sennrich
- Guillaume Lample
- Yoshua Bengio
- Matt Post
- Geoffrey E. Hinton
- Kyunghyun Cho
- Ilya Sutskever
- Diederik P. Kingma
- Ashish Vaswani
- Dzmitry Bahdanau
Who trusts Isaac Caswell overall
- Markus Freitag
- Peng-Jen Chen
- Adrien Barbaresi
- Parker Riley
- Ankur Bapna
- Zhenhao Li
- Jiajun Shen
- Sebastian Gehrmann
- David Grangier
- Jiatao Gu
Papers from Isaac Caswell's perspective
Ordered by how strongly the researchers Isaac Caswell trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- 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
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
Their papers
- Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling (2019) — 215 citations
- BLEU Might Be Guilty but References Are Not Innocent (2020) — 169 citations
- Building Machine Translation Systems for the Next Thousand Languages (2022) — 120 citations
- Tagged Back-Translation (2019) — 232 citations
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
- Investigating Multilingual NMT Representations at Scale (2019) — 138 citations
- Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus (2020) — 112 citations
- APE at Scale and Its Implications on MT Evaluation Biases (2019) — 69 citations
- Writing System and Speaker Metadata for 2,800+ Language Varieties (2022) — 33 citations
- Translationese as a Language in “Multilingual” NMT (2019) — 52 citations
- Text Repair Model for Neural Machine Translation (2019) — 8 citations