Su Zhu

Computer Vision and Pattern Recognition · with Chen · 2024

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

Whom Su Zhu trusts

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

  1. Tri Dao (in Model Architectures)

Papers from Su Zhu's perspective

Ordered by how strongly the researchers Su Zhu 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. Improving neural networks by preventing co-adaptation of feature detectors
  4. Curriculum learning
  5. Training language models to follow instructions with human feedback (Neural Information Processing Systems)
  6. GPT-4 Technical Report
  7. Learning both Weights and Connections for Efficient Neural Network
  8. Parameter-Efficient Transfer Learning for NLP
  9. DeepSpeed: System Optimizations Enable Training Deep Learning Models with Over 100 Billion Parameters
  10. Prefix-Tuning: Optimizing Continuous Prompts for Generation

Their papers