Jason Alan Fries
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 7 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 218 citations into it; #13,323 of 35,345 by trust here, #2,121 by citations
- Natural Language Processing — 122 citations into it
- Evaluation & Benchmarks — 75 citations into it; #1,688 of 3,147 by trust here, #1,399 by citations
- Computer Vision and Pattern Recognition — 54 citations into it; #11,536 of 21,575 by trust here, #7,176 by citations
- Representation & Self-Supervised Learning — 26 citations into it; #1,898 of 3,145 by trust here, #1,338 by citations
- Management Science and Operations Research — 19 citations into it
- Model Architectures — 14 citations into it
- Optimization & Training — 11 citations into it
Whom Jason Alan Fries trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alexander J. Ratner
- Kaiming He
- Hongwei Li
- Geoffrey E. Hinton
- Jia Deng
- Jimmy Ba
- Stephen H. Bach
- Benjamin Roth
- Alex Krizhevsky
Who trusts Jason Alan Fries overall
Papers from Jason Alan Fries's perspective
Ordered by how strongly the researchers Jason Alan Fries trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Et al
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2021) — 2,030 citations
- Snorkel: Rapid Training Data Creation with Weak Supervision (2017) — 1,174 citations
- PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022) — 417 citations
- Snorkel: rapid training data creation with weak supervision (2019) — 277 citations
- Data programming with DDLite: putting humans in a different part of the loop (2016) — 29 citations
- BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
- Multitask Prompted Training Enables Zero-Shot Task Generalization (2022) — 242 citations