Keegan Hines
Knowledge Discovery and Data Mining · 2023
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Keegan Hines trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Auer (in Reinforcement Learning)
Papers from Keegan Hines's perspective
Ordered by how strongly the researchers Keegan Hines trusts endorse each paper. Same corpus, a different order for every researcher.
- GPT-4 Technical Report
- Using Confidence Bounds for Exploitation-Exploration Trade-offs
- Tree of Thoughts: Deliberate Problem Solving with Large Language Models
- Attention is All you Need (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Language Models are Unsupervised Multitask Learners
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)