Brett A. Becker
Artificial Intelligence · 2018–2023
A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it
- Information Systems — 44 citations into it; #4,420 of 8,771 by trust here, #3,098 by citations
- Computer Science Applications — 43 citations into it; #713 of 1,855 by trust here, #385 by citations
- Large Language Models — 20 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom Brett A. Becker trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Elliot Soloway
- C. McDowell
- Aditya Ramesh
- Alex Tamkin
- Geoffrey E. Hinton
- Kimberly A. Neuendorf
- Paul Denny
- Linda L. Werner
- Yann LeCun
- Aitor Lewkowycz
Who trusts Brett A. Becker overall
Papers from Brett A. Becker's perspective
Ordered by how strongly the researchers Brett A. Becker 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming (2022) — 509 citations
- Inferential Statistics in Computing Education Research: A Methodological Review (2019) — 35 citations
- Computing Education in the Era of Generative AI (2023) — 325 citations
- Using Large Language Models to Enhance Programming Error Messages (2022) — 245 citations
- Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation (2022) — 464 citations
- Current Challenges and Future Opportunities for XAI in Machine Learning-Based Clinical Decision Support Systems: A Systematic Review (2021) — 534 citations
- Introductory programming: a systematic literature review (2018) — 480 citations