Dimitris Stamos

Artificial Intelligence · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #27,373 of 35,345 by trust here, #25,040 by citations
• Computational Mechanics — 25 citations into it
• Representation & Self-Supervised Learning — 20 citations into it
• Optimization & Training — 18 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Meta & Continual Learning — 9 citations into it
• Computer Networks and Communications — 8 citations into it; #7,375 of 9,886 by trust here, #6,217 by citations
• Statistical Learning Theory — 8 citations into it

Whom Dimitris Stamos trusts overall

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

1. Andreas Maurer
2. Jonathan Baxter
3. Arindam Banerjee
4. Massimiliano Pontil
5. Robert Tibshirani
6. Yurii E. Nesterov
7. Andreas Argyriou
8. Elad Hazan
9. Trevor J. Hastie
10. Laurent Jacob

Who trusts Dimitris Stamos overall

1. Giulia Denevi
2. Kaiyi Ji
3. Mikhail Khodak

Papers from Dimitris Stamos's perspective

Ordered by how strongly the researchers Dimitris Stamos 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. 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. Regression Shrinkage and Selection via the Lasso
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Incremental Learning-to-Learn with Statistical Guarantees (2018) — 48 citations
• Learning To Learn Around A Common Mean (2018) — 85 citations
• Spectral k-Support Norm Regularization (2014) — 46 citations