Jonathan Brophy
Artificial Intelligence · 2020
A researcher in the Science corpus: 2 papers; trusts 67 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 75 citations into it; #22,428 of 35,345 by trust here, #31,361 by citations
- Safety, Robustness & Interpretability — 28 citations into it
- Statistical Learning Theory — 14 citations into it
- Privacy & Security — 14 citations into it
- Optimization & Training — 13 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
- Statistics and Probability — 10 citations into it
- Meta & Continual Learning — 6 citations into it
Whom Jonathan Brophy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Jerome H. Friedman
- Saurabh Shintre
- Niko Speybroeck
- Pang Wei Koh
- Tianqi Chen
- Stefan Wager
- Michael Kearns
- Gert Cauwenberghs
- James A. Hanley
Who trusts Jonathan Brophy overall
Papers from Jonathan Brophy's perspective
Ordered by how strongly the researchers Jonathan Brophy trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Machine Unlearning for Random Forests (2020) — 233 citations
- DART: Data Addition and Removal Trees (2020) — 6 citations