Stephen Hardy

Artificial Intelligence · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #24,965 of 35,345 by trust here, #10,798 by citations
• Management Science and Operations Research — 18 citations into it
• Privacy & Security — 12 citations into it; #602 of 709 by trust here, #342 by citations
• Algorithms & Complexity — 6 citations into it
• Information Systems — 6 citations into it

Whom Stephen Hardy trusts overall

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

1. Richard Nock
2. Peter Christen
3. Giorgio Patrini
4. R. Schnell
5. Pascal Paillier
6. Kamalika Chaudhuri
7. Yoshinori Aono
8. John C. Duchi
9. Frank Nielsen
10. Peter L. Bartlett

Who trusts Stephen Hardy overall

1. Yang Liu
2. Qiang Yang
3. Qinbin Li
4. Li Li
5. Tianjian Chen
6. Yuanming Shi
7. Xuefei Yin
8. Hangyu Zhu
9. Suyu Ge
10. Runhua Xu

Papers from Stephen Hardy's perspective

Ordered by how strongly the researchers Stephen Hardy 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. Learning Multiple Layers of Features from Tiny Images
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption (2017) — 622 citations
• Fast Learning from Distributed Datasets without Entity Matching (2016) — 12 citations
• Entity Resolution and Federated Learning get a Federated Resolution (2018) — 95 citations