Beiwen Tian
Artificial Intelligence · 2022
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it
Whom Beiwen Tian trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Iryna Gurevych (in Artificial Intelligence)
Papers from Beiwen Tian's perspective
Ordered by how strongly the researchers Beiwen Tian trusts endorse each paper. Same corpus, a different order for every researcher.
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Finetuned Language Models Are Zero-Shot Learners
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Unsupervised Cross-Task Generalization via Retrieval Augmentation (2022) — 53 citations