Gavin Brown

Artificial Intelligence · with Bun · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it

Whom Gavin Brown trusts overall

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

1. Vitaly Feldman
2. Cynthia Dwork
3. Nicholas Carlini
4. Naftali Tishby
5. Mark Bun
6. Adam D. Smith
7. Ziv Bar-Yossef
8. Kobbi Nissim
9. Raef Bassily
10. Chang Liu

Who trusts Gavin Brown overall

1. Rohan Anil

Papers from Gavin Brown's perspective

Ordered by how strongly the researchers Gavin Brown 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. Long Short-Term Memory
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Language Models are Few-Shot Learners (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• When is memorization of irrelevant training data necessary for high-accuracy learning? (2020) — 130 citations