Iker Ceballos

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 — 23 citations into it
• Federated & Distributed Learning — 10 citations into it

Whom Iker Ceballos trusts overall

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

1. Vivek Sharma
2. Praneeth Vepakomma
3. Otkrist Gupta
4. H. Brendan McMahan
5. Ramesh Raskar
6. Jeffrey Pennington
7. Ali Diba
8. Sérgio Moro
9. Tristan Swedish
10. Yang Liu

Papers from Iker Ceballos's perspective

Ordered by how strongly the researchers Iker Ceballos 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. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Going deeper with convolutions
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. Learning Multiple Layers of Features from Tiny Images

Their papers

• SplitNN-driven Vertical Partitioning (2020) — 91 citations