Raman Arora

Artificial Intelligence · with Braverman · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Optimization & Training — 20 citations into it
• Federated & Distributed Learning — 19 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Electrical and Electronic Engineering — 5 citations into it

Whom Raman Arora trusts

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

1. Sebastian U. Stich (in Artificial Intelligence)
2. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Raman Arora's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. Large Scale Distributed Deep Networks
3. On the importance of initialization and momentum in deep learning
4. PyTorch: An Imperative Style, High-Performance Deep Learning Library
5. Local SGD Converges Fast and Communicates Little
6. EMNIST: Extending MNIST to handwritten letters
7. Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
8. Federated Learning with Non-IID Data
9. Gradient Sparsification for Communication-Efficient Distributed Optimization
10. Personalizing Dialogue Agents: I have a dog, do you have pets too?

Their papers

• FetchSGD: Communication-Efficient Federated Learning with Sketching (2020) — 432 citations