Yang Yuan
Artificial Intelligence · with Huang · 2013–2019
A researcher in the Science corpus: 9 papers; trusts 336 researchers and is trusted by 93 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 147 citations into it; #2,390 of 35,345 by trust here, #3,663 by citations
- Optimization & Training — 99 citations into it; #698 of 2,601 by trust here, #495 by citations
- Computer Vision and Pattern Recognition — 73 citations into it; #3,816 of 21,575 by trust here, #4,781 by citations
- Computational Mechanics — 49 citations into it; #1,550 of 10,001 by trust here, #719 by citations
- Scaling & Learning Theory — 38 citations into it
- Management Science and Operations Research — 29 citations into it
- Statistics and Probability — 20 citations into it
- Statistical Learning Theory — 17 citations into it
Whom Yang Yuan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tong Zhang
- Shai Shalev-Shwartz
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Yurii E. Nesterov
- Alex Krizhevsky
- Julien Mairal
- Yann LeCun
- Diederik P. Kingma
Who trusts Yang Yuan overall
- Zeyuan Allen-Zhu
- Simon Shaolei Du
- Yuanzhi Li
- Jason D. Lee
- Santosh Srinivas Vempala
- M. Soltanolkotabi
- Rachel A. Ward
- Prateek Jain
- Sharan Vaswani
- Jonas Köhler
Papers from Yang Yuan's perspective
Ordered by how strongly the researchers Yang Yuan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Escaping From Saddle Points - Online Stochastic Gradient for Tensor Decomposition (2015) — 1,144 citations
- An empirical study on evaluation metrics of generative adversarial networks (2018) — 306 citations
- Convergence Analysis of Two-layer Neural Networks with ReLU Activation (2017) — 685 citations
- Asymmetric Valleys: Beyond Sharp and Flat Local Minima (2019) — 166 citations
- Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms (2014) — 309 citations
- An Alternative View: When Does SGD Escape Local Minima? (2018) — 349 citations
- Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters (2016) — 29 citations
- Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives (2015) — 210 citations
- Combinatorial Multi-Armed Bandit: General Framework and Applications (2013) — 665 citations