Kurt Partridge

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it; #12,849 of 35,345 by trust here, #17,412 by citations
• Optimization & Training — 9 citations into it

Whom Kurt Partridge trusts overall

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

1. Latanya Sweeney
2. Diederik P. Kingma
3. Cynthia Dwork
4. Geoffrey E. Hinton
5. Timothy Dozat
6. John Krumm
7. Daniel S. Park
8. H. Brendan McMahan
9. Jimmy Ba
10. Ilya Sutskever

Who trusts Kurt Partridge overall

1. Reza Shokri
2. Hui Zang
3. Jonathan Petit
4. Carmela Troncoso
5. Zachary B. Charles
6. Apostolos Pyrgelis
7. Jean-Chrysostome Bolot

Papers from Kurt Partridge's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Distilling the Knowledge in a Neural Network (arXiv.org)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• On the Anonymity of Home/Work Location Pairs (2009) — 420 citations
• Training Keyword Spotting Models on Non-IID Data with Federated Learning (2020) — 74 citations