Yichu Zhou

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 51 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Natural Language Processing — 23 citations into it
• Evaluation & Benchmarks — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Large Language Models — 9 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Yichu Zhou trusts overall

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

1. Diederik P. Kingma
2. Chih-Jen Lin
3. Yoshua Bengio
4. Tiago Pimentel
5. Geoffrey E. Hinton
6. Jacob Devlin
7. Jimmy Ba
8. Matthew E. Peters
9. Nora Kassner
10. Ilya Sutskever

Papers from Yichu Zhou's perspective

Ordered by how strongly the researchers Yichu Zhou 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• DirectProbe: Studying Representations without Classifiers (2021) — 38 citations