Jeffrey Li

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Federated & Distributed Learning — 11 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Jeffrey Li trusts overall

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

1. Mikhail Khodak
2. Jonathan Baxter
3. Shai Shalev-Shwartz
4. Chelsea Finn
5. H. Brendan McMahan
6. Nicolò Cesa-Bianchi
7. John C. Duchi
8. Geoffrey E. Hinton
9. Alex Nichol
10. Ruslan Salakhutdinov

Who trusts Jeffrey Li overall

1. Alireza Fallah
2. Xuefei Yin
3. Aryan Mokhtari
4. Yanming Zhu

Papers from Jeffrey Li's perspective

Ordered by how strongly the researchers Jeffrey Li 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. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Differentially Private Meta-Learning (2019) — 127 citations