Margaret L. Loper

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Optimization & Training — 11 citations into it

Whom Margaret L. Loper trusts overall

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

1. Diederik P. Kingma
2. Roberto Battiti
3. Ning Qian
4. Alex Krizhevsky
5. H. Brendan McMahan

Papers from Margaret L. Loper's perspective

Ordered by how strongly the researchers Margaret L. Loper 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. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet classification with deep convolutional neural networks
6. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
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. Long Short-Term Memory
10. A Stochastic Approximation Method

Their papers

• A Framework for Evaluating Gradient Leakage Attacks in Federated Learning (2020) — 172 citations