Christopher Dewan
Artificial Intelligence · 2018–2022
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 151 citations into it
- Natural Language Processing — 94 citations into it
Whom Christopher Dewan trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Jason Aaron Edward Weston (in Artificial Intelligence)
- Diederik P. Kingma (in Artificial Intelligence)
- Quoc V. Le (in Artificial Intelligence)
- Yoshua Bengio (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
- Christopher D. Manning (in Artificial Intelligence)
- Geoffrey E. Hinton (in Artificial Intelligence)
- Ilya Sutskever (in Artificial Intelligence)
- Yoon Kim (in Artificial Intelligence)
- Ronan Collobert (in Artificial Intelligence)
Who trusts Christopher Dewan
- Luke S. Zettlemoyer (in Large Language Models)
Papers from Christopher Dewan's perspective
Ordered by how strongly the researchers Christopher Dewan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (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 classification with deep convolutional neural networks
- Language Models are Unsupervised Multitask Learners
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Gradient-based learning applied to document recognition
Their papers
- OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization (2022) — 307 citations
- PyText: A Seamless Path from NLP research to production (2018) — 17 citations
- OPT: Open Pre-trained Transformer Language Models (2022) — 4,844 citations