Slavomír Hanzely

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it; #32,368 of 35,345 by trust here, #28,481 by citations
• Optimization & Training — 14 citations into it
• Computational Mechanics — 11 citations into it
• Federated & Distributed Learning — 11 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Numerical Analysis — 5 citations into it

Whom Slavomír Hanzely trusts overall

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

1. Aaron Defazio
2. Shai Shalev-Shwartz
3. Zeyuan Allen-Zhu
4. Yurii E. Nesterov
5. Tong Zhang
6. Mark W. Schmidt
7. Filip Hanzely
8. Guanghui Lan
9. Chih-Jen Lin
10. Peter Richtárik

Who trusts Slavomír Hanzely overall

1. Qinbin Li
2. Othmane Marfoq

Papers from Slavomír Hanzely's perspective

Ordered by how strongly the researchers Slavomír Hanzely 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Learning Multiple Layers of Features from Tiny Images
6. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Lower Bounds and Optimal Algorithms for Personalized Federated Learning (2020) — 214 citations