Yijun Xiao

Artificial Intelligence · 2016–2021

A researcher in the Science corpus: 2 papers; trusts 68 researchers and is trusted by 48 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it; #4,647 of 35,345 by trust here, #14,718 by citations
• Natural Language Processing — 25 citations into it; #1,088 of 5,688 by trust here, #3,107 by citations
• Computer Vision and Pattern Recognition — 16 citations into it; #15,297 of 21,575 by trust here, #15,955 by citations
• Model Architectures — 12 citations into it; #411 of 2,278 by trust here, #1,643 by citations
• Evaluation & Benchmarks — 8 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Yijun Xiao trusts overall

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

1. Yoon Kim
2. Yoshua Bengio
3. Geoffrey E. Hinton
4. Yann LeCun
5. John Scott Bridle
6. Alex Krizhevsky
7. Diederik P. Kingma
8. Sepp Hochreiter
9. Richard Socher
10. Ilya Sutskever

Who trusts Yijun Xiao overall

1. Yoav Goldberg
2. Holger Schwenk
3. Kyunghyun Cho
4. Alexis Conneau
5. Armand Joulin
6. Hao Wu
7. Junyoung Chung
8. Tom Kenter
9. Jason Lee
10. Andrew Yates

Papers from Yijun Xiao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient Character-level Document Classification by Combining Convolution and Recurrent Layers (2016) — 223 citations
• On Hallucination and Predictive Uncertainty in Conditional Language Generation (2021) — 264 citations