Gavin Brown
Artificial Intelligence · with Biggio · 2004–2017
A researcher in the Science corpus: 5 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 52 citations into it; #16,138 of 35,345 by trust here, #7,112 by citations
- Safety, Robustness & Interpretability — 40 citations into it; #1,207 of 2,251 by trust here, #903 by citations
- Signal Processing — 21 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Computer Networks and Communications — 15 citations into it; #5,673 of 9,886 by trust here, #1,826 by citations
- Privacy & Security — 12 citations into it
- Information Systems — 11 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Gavin Brown trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ludmila I. Kuncheva
- Leo Breiman
- Stuart Geman
- Anders Krogh
- Liam Paninski
- John R. Koza
- Yoav Freund
- Battista Biggio
- Prem Melville
- Elie Bienenstock
Who trusts Gavin Brown overall
- Lior Rokach
- Chintan Parmar
- M. A. Ganaie
- João Mendes-Moreira
- Omer Sagi
- Monther Alhamdoosh
- Battista Biggio
- Jorge R. Vergara
- Gregory Ditzler
- Sarah Nogueira
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.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Intriguing properties of neural networks
- ImageNet: A large-scale hierarchical image database
- Bagging Predictors
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
Their papers
- Is Feature Selection Secure against Training Data Poisoning? (2015) — 445 citations
- Diversity creation methods: a survey and categorisation (2004) — 1,095 citations
- Conditional Likelihood Maximisation: A Unifying Framework for Information Theoretic Feature Selection (2012) — 1,252 citations
- Is Deep Learning Safe for Robot Vision? Adversarial Examples Against the iCub Humanoid (2017) — 102 citations
- Managing Diversity in Regression Ensembles (2005) — 410 citations