Taner Topal

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Federated & Distributed Learning — 24 citations into it
• Optimization & Training — 12 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Signal Processing — 8 citations into it

Whom Taner Topal trusts overall

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

1. H. Brendan McMahan
2. Tian Li
3. Martín Abadi
4. Kaiming He
5. Alex Krizhevsky
6. Timo Sztyler
7. Keith Bonawitz
8. Geoffrey E. Hinton
9. Olga Russakovsky
10. Sashank J. Reddi

Papers from Taner Topal's perspective

Ordered by how strongly the researchers Taner Topal 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. ImageNet Large Scale Visual Recognition Challenge
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Large Scale Distributed Deep Networks

Their papers

• Flower: A Friendly Federated Learning Research Framework (2020) — 1,331 citations
• A first look into the carbon footprint of federated learning (2020) — 122 citations