Talia Ringer
Artificial Intelligence · 2023
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 47 citations into it
- Information Systems — 24 citations into it
- Software — 17 citations into it
- Natural Language Processing — 15 citations into it
- Computer Vision and Pattern Recognition — 13 citations into it
- Large Language Models — 12 citations into it
- Model Architectures — 9 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Talia Ringer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ilya Sutskever
- Mark Harman
- Xavier Leroy
- Albert Qiaochu Jiang
- Stanislas Polu
- Noam Shazeer
- Claire Le Goues
- Kaiyu Yang
- Geoffrey E. Hinton
- Fan Long
Papers from Talia Ringer's perspective
Ordered by how strongly the researchers Talia Ringer trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
Their papers
- Can Transformers Learn to Solve Problems Recursively? (2023) — 22 citations
- Baldur: Whole-Proof Generation and Repair with Large Language Models (2023) — 195 citations