Linfeng Zhang

Molecular Biology · with Ding · 2023

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Linfeng Zhang trusts

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

  1. David Weininger (in Computational Chemistry & Drug Discovery)
  2. S. Parasuraman (in Molecular Biology)

Papers from Linfeng Zhang's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  4. Language Models are Unsupervised Multitask Learners
  5. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  6. Improving Language Understanding by Generative Pre-Training
  7. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  8. Learning Transferable Visual Models From Natural Language Supervision (International Conference on Machine Learning)
  9. SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
  10. Big Self-Supervised Models are Strong Semi-Supervised Learners

Their papers