Yuege Xie

Optimization & Training · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 29 citations into it
• Artificial Intelligence — 26 citations into it
• Computational Mechanics — 18 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Yuege Xie trusts overall

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

1. Diederik P. Kingma
2. Mark W. Schmidt
3. Yurii E. Nesterov
4. John C. Duchi
5. Francis R. Bach
6. Sashank J. Reddi
7. H. Brendan McMahan
8. L. Eon Bottou
9. Xiaoyun Li
10. Nicolas Le Roux

Who trusts Yuege Xie overall

1. Cheik Traoré
2. Anas Barakat

Papers from Yuege Xie's perspective

Ordered by how strongly the researchers Yuege Xie 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. Long Short-Term Memory
8. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Linear Convergence of Adaptive Stochastic Gradient Descent (2019) — 53 citations