Libin Zhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Optimization & Training — 15 citations into it
• Scaling & Learning Theory — 9 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Libin Zhu trusts overall

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

1. Yurii E. Nesterov
2. Simon Shaolei Du
3. Diederik P. Kingma
4. M. Soltanolkotabi
5. Chaoyue Liu
6. Mikhail Belkin
7. Jimmy Ba
8. Sanjeev Arora
9. Sharan Vaswani
10. Jason D. Lee

Papers from Libin Zhu's perspective

Ordered by how strongly the researchers Libin Zhu 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. Learning Multiple Layers of Features from Tiny Images
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Loss landscapes and optimization in over-parameterized non-linear systems and neural networks (2020) — 355 citations