Haiyu Li

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haiyu Li trusts

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

  1. Dong-Hyun Lee (in Representation & Self-Supervised Learning)
  2. Danqi Chen (in Artificial Intelligence)
  3. Quoc V. Le (in Artificial Intelligence)
  4. Tianyu Gao (in Artificial Intelligence)
  5. Hinrich Schütze (in Artificial Intelligence)
  6. Timo Schick (in Artificial Intelligence)

Papers from Haiyu Li's perspective

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

  1. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  2. Language Models are Unsupervised Multitask Learners
  3. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. ImageNet classification with deep convolutional neural networks
  7. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers