Yongfeng Zhang

Artificial Intelligence · with Ge · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongfeng Zhang trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Quoc V. Le (in Artificial Intelligence)
  2. Ronald J. Williams (in Reinforcement Learning)
  3. Barret Zoph (in Artificial Intelligence)

Papers from Yongfeng Zhang's perspective

Ordered by how strongly the researchers Yongfeng Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  2. Microsoft COCO: Common Objects in Context
  3. Language Models are Unsupervised Multitask Learners
  4. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  5. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  6. Proximal Policy Optimization Algorithms (arXiv.org)
  7. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  8. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  9. SQuAD: 100,000+ Questions for Machine Comprehension of Text
  10. Neural Architecture Search with Reinforcement Learning

Their papers