Lingzi Jin

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #23,843 of 35,345 by trust here, #26,682 by citations
• Management Science and Operations Research — 10 citations into it; #7,557 of 11,946 by trust here, #7,638 by citations
• Computational Theory and Mathematics — 7 citations into it; #8,119 of 12,182 by trust here, #7,501 by citations
• Reinforcement Learning — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Lingzi Jin trusts overall

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

1. Nando de Freitas
2. R´emi Munos
3. Donald R. Jones
4. Eric Brochu
5. Rémi Bardenet
6. Frank Hutter
7. Nikolaus Hansen
8. Ziyun Wang
9. James Bergstra
10. Jasper Snoek

Who trusts Lingzi Jin overall

1. Ryan-Rhys Griffiths

Papers from Lingzi Jin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Practical Bayesian Optimization of Machine Learning Algorithms
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Long Short-Term Memory

Their papers

• Bayesian Multi-Scale Optimistic Optimization (2014) — 95 citations