Samuel A. Assefa

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Generative Models — 6 citations into it
• Sociology and Political Science — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Privacy & Security — 5 citations into it
• Statistical and Nonlinear Physics — 5 citations into it

Whom Samuel A. Assefa trusts overall

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

1. Cynthia Dwork
2. Alan M. Frieze
3. Réka Albert
4. Jure Leskovec
5. Reza Shokri
6. Lucas Theis
7. James Jordon
8. Neha Patki
9. Lei Xu
10. Magnus Wiese

Papers from Samuel A. Assefa's perspective

Ordered by how strongly the researchers Samuel A. Assefa 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• SURF: improving classifiers in production by learning from busy and noisy end users (2020) — 445 citations
• Generating synthetic data in finance: opportunities, challenges and pitfalls (2020) — 301 citations