X. Xiao

Optimization & Training · 2018

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 36 citations into it
• Computational Mechanics — 35 citations into it
• Artificial Intelligence — 33 citations into it
• Management Science and Operations Research — 11 citations into it

Whom X. Xiao trusts overall

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

1. Shai Shalev-Shwartz
2. Tong Zhang
3. Zeyuan Allen-Zhu
4. Yurii E. Nesterov
5. Saeed Ghadimi
6. Richard H. Byrd
7. Francis R. Bach
8. Farbod Roosta-Khorasani
9. Geoffrey E. Hinton
10. Elad Hazan

Papers from X. Xiao's perspective

Ordered by how strongly the researchers X. 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (2018) — 38 citations