Jiayuan Ding

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 35 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Natural Language Processing — 24 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Model Architectures — 6 citations into it

Whom Jiayuan Ding trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yoshua Bengio
5. Alex Krizhevsky
6. Jimmy Ba
7. Diederik P. Kingma
8. Ross B. Girshick
9. Yann LeCun
10. Oriol Vinyals

Papers from Jiayuan Ding's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Gradient-based learning applied to document recognition
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• CERT: Contrastive Self-supervised Learning for Language Understanding (2020) — 379 citations