Catalin Capota

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Privacy & Security — 6 citations into it

Whom Catalin Capota trusts overall

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

1. John F. Canny
2. Frank McSherry
3. Chelsea Finn

Papers from Catalin Capota's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Simple and Efficient Federated Recommender System (2019) — 73 citations