Paris V. Giampouras

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 183 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 85 citations into it
• Meta & Continual Learning — 55 citations into it
• Computer Vision and Pattern Recognition — 51 citations into it
• Representation & Self-Supervised Learning — 19 citations into it
• Computational Mechanics — 17 citations into it
• Optimization & Training — 12 citations into it
• Statistical Learning Theory — 7 citations into it
• Statistics and Probability — 5 citations into it

Whom Paris V. Giampouras trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Diederik P. Kingma
6. Yann LeCun
7. Ilya Sutskever
8. Marc'Aurelio Ranzato
9. Ross B. Girshick
10. Karen Simonyan

Papers from Paris V. Giampouras's perspective

Ordered by how strongly the researchers Paris V. Giampouras 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• The Ideal Continual Learner: An Agent That Never Forgets (2023) — 44 citations