Xiaoyun Li

Optimization & Training · with Orabona · 2018

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 15 citations into it; #982 of 2,601 by trust here, #1,488 by citations
• Artificial Intelligence — 11 citations into it; #9,337 of 35,345 by trust here, #16,471 by citations
• Management Science and Operations Research — 8 citations into it; #2,267 of 11,946 by trust here, #3,457 by citations
• Computational Mechanics — 6 citations into it; #2,143 of 10,001 by trust here, #3,362 by citations

Whom Xiaoyun Li trusts overall

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

1. Matthew D. Zeiler
2. Diederik P. Kingma
3. L. Eon Bottou
4. John C. Duchi
5. Alexander Rakhlin
6. Yurii E. Nesterov
7. Peter Auer
8. Sashank J. Reddi
9. Kfir Yehuda Levy
10. Jimmy Ba

Who trusts Xiaoyun Li overall

1. Fangyu Zou
2. Ahmed Khaled
3. Adam M. Oberman
4. Sharan Vaswani
5. Yuege Xie
6. Nicolas Loizou
7. Li Shen
8. Ashok Cutkosky
9. Xiaoxia Wu
10. Jingzhao Zhang

Papers from Xiaoyun Li's perspective

Ordered by how strongly the researchers Xiaoyun Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On the Convergence of Stochastic Gradient Descent with Adaptive Stepsizes (2018) — 345 citations