Jae Ro

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it; #30,279 of 35,345 by trust here, #16,771 by citations
• Federated & Distributed Learning — 24 citations into it; #271 of 319 by trust here, #221 by citations
• Statistical Learning Theory — 5 citations into it
• Statistics and Probability — 5 citations into it

Whom Jae Ro trusts overall

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

1. Mehryar Mohri
2. Vladimir Naumovich Vapnik
3. Yishay Mansour

Who trusts Jae Ro overall

1. Guodong Long

Papers from Jae Ro's perspective

Ordered by how strongly the researchers Jae Ro 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. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Three Approaches for Personalization with Applications to Federated Learning (2020) — 666 citations