Lei Li

Optimization & Training · with Hu · 2017

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

Subfields

• Optimization & Training — 17 citations into it

Whom Lei Li trusts overall

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

1. Yurii E. Nesterov
2. Ilya Sutskever

Papers from Lei Li's perspective

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

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

Their papers

• On the diffusion approximation of nonconvex stochastic gradient descent (2017) — 157 citations