Adam C. Champion

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Optimization & Training — 13 citations into it
• Privacy & Security — 9 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it

Whom Adam C. Champion trusts overall

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

1. L. Eon Bottou
2. Frank McSherry
3. Yurii E. Nesterov
4. Alex Krizhevsky
5. Cynthia Dwork
6. Kamalika Chaudhuri
7. Nicolas Le Roux
8. Hong Lu
9. Geoffrey E. Hinton
10. Shuang Song

Who trusts Adam C. Champion overall

1. Jihun Hamm

Papers from Adam C. Champion's perspective

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

1. Learning Multiple Layers of Features from Tiny Images
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. A Stochastic Approximation Method

Their papers

• Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices (2015) — 65 citations