Michael Terry
Artificial Intelligence · 2019–2022
A researcher in the Science corpus: 8 papers; trusts 22 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 142 citations into it; #11,899 of 35,345 by trust here, #2,734 by citations
- Natural Language Processing — 85 citations into it
- Computer Vision and Pattern Recognition — 59 citations into it
- Information Systems — 58 citations into it; #4,310 of 8,771 by trust here, #187 by citations
- Human-Computer Interaction — 47 citations into it
- Software — 32 citations into it
- Safety, Robustness & Interpretability — 21 citations into it
- Radiology, Nuclear Medicine and Imaging — 8 citations into it
Whom Michael Terry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Carrie J. Cai
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Arvind Satyanarayan
- Kaiming He
- Lydia B. Chilton
Who trusts Michael Terry overall
- Joon Sung Park
- Man Luo
- Mihir Parmar
- J.D. Zamfirescu-Pereira
- Piotr Wojciech Mirowski
- Swaroop Mishra
- Monica Agrawal
- Grégoire Mialon
Papers from Michael Terry's perspective
Ordered by how strongly the researchers Michael Terry trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Language Models are Unsupervised Multitask Learners
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Program Synthesis with Large Language Models (2021) — 4,124 citations
- AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts (2021) — 679 citations
- "Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making (2019) — 558 citations
- PromptChainer: Chaining Large Language Model Prompts through Visual Programming (2022) — 301 citations
- GenLine and GenForm: Two Tools for Interacting with Generative Language Models in a Code Editor (2021) — 27 citations
- Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making (2019) — 468 citations
- Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models (2020) — 326 citations
- Similar image search for histopathology: SMILY (2019) — 154 citations