Jason M. Rute
Artificial Intelligence · 2015–2021
A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #26,700 of 35,345 by trust here, #20,836 by citations
- Large Language Models — 10 citations into it; #526 of 799 by trust here, #665 by citations
- Computational Theory and Mathematics — 8 citations into it
- Program Analysis & Verification — 7 citations into it
- Prompting & Reasoning — 6 citations into it; #215 of 359 by trust here, #301 by citations
Whom Jason M. Rute trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kshitij Bansal
- Markus Norman Rabe
- Daniel Whalen
- Christian Szegedy
- Ilya Sutskever
- Geoffrey E. Hinton
- Sarah M. Loos
- Mingzhe Wang
- Jia Deng
- Jacob Devlin
Who trusts Jason M. Rute overall
Papers from Jason M. Rute's perspective
Ordered by how strongly the researchers Jason M. Rute 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)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Proof Artifact Co-training for Theorem Proving with Language Models (2021) — 170 citations
- A FORMAL PROOF OF THE KEPLER CONJECTURE (2015) — 523 citations