Ying Xu

Artificial Intelligence · with Jimeno-Yepes · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it
• Natural Language Processing — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ying Xu trusts overall

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

1. Matthew Riemer
2. Hal Daumé Iii
3. Christopher D. Manning
4. Geoffrey E. Hinton
5. Richard Socher
6. Yoshua Bengio
7. Jeffrey Pennington
8. David M. Blei
9. David Lopez-Paz
10. Diederik P. Kingma

Papers from Ying Xu's perspective

Ordered by how strongly the researchers Ying Xu 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. ImageNet classification with deep convolutional neural networks
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Forget Me Not: Reducing Catastrophic Forgetting for Domain Adaptation in Reading Comprehension (2019) — 53 citations