Jianzhu Yao

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 — 41 citations into it

Whom Jianzhu Yao trusts

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

1. Alex Graves (in Artificial Intelligence)

Papers from Jianzhu Yao's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Language Models are Unsupervised Multitask Learners
4. Improving Language Understanding by Generative Pre-Training
5. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
6. The Curious Case of Neural Text Degeneration
7. Scaling Laws for Neural Language Models (arXiv.org)
8. Overcoming catastrophic forgetting in neural networks
9. A Survey on Transfer Learning
10. Sequence Transduction with Recurrent Neural Networks

Their papers

• EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training (2022) — 60 citations