Róbert Ormándi

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 15 citations into it; #23,446 of 35,345 by trust here, #9,170 by citations
• Optimization & Training — 11 citations into it

Whom Róbert Ormándi trusts overall

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

1. Jimmy Ba
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Yann LeCun

Who trusts Róbert Ormándi overall

1. Rodrigo Nogueira
2. Jiaxi Tang

Papers from Róbert Ormándi's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet Large Scale Visual Recognition Challenge
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Layer Normalization
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Large scale distributed neural network training through online distillation (2018) — 455 citations