Vasilios Tsalavoutis

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 123 citations into it
• Computer Vision and Pattern Recognition — 107 citations into it
• Model Architectures — 30 citations into it
• Signal Processing — 26 citations into it
• Generative Models — 18 citations into it
• Optimization & Training — 13 citations into it
• Probabilistic & Bayesian Methods — 13 citations into it
• Safety, Robustness & Interpretability — 11 citations into it

Whom Vasilios Tsalavoutis trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ilya Sutskever
4. Alex Krizhevsky
5. Diederik P. Kingma
6. Yann LeCun
7. Marc'Aurelio Ranzato
8. Ruslan Salakhutdinov
9. Radford M. Neal
10. Kaiming He

Papers from Vasilios Tsalavoutis's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Going deeper with convolutions
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends (2019) — 402 citations