Spyridon Samothrakis

Artificial Intelligence · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 66 citations into it; #20,668 of 35,345 by trust here, #6,014 by citations
• Reinforcement Learning — 23 citations into it
• Economics and Econometrics — 20 citations into it; #21,041 of 23,481 by trust here, #2,748 by citations
• Natural Language Processing — 17 citations into it; #4,561 of 5,688 by trust here, #5,412 by citations
• Management Science and Operations Research — 15 citations into it
• Computer Vision and Pattern Recognition — 13 citations into it; #17,063 of 21,575 by trust here, #20,271 by citations
• Game & Decision Theory — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it; #2,770 of 3,147 by trust here, #970 by citations

Whom Spyridon Samothrakis trusts overall

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

1. Diederik P. Kingma
2. Alec Radford
3. Yoshua Bengio
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Ilya Sutskever
7. Richard Socher
8. Alex Krizhevsky
9. Yann LeCun
10. Jacob Devlin

Who trusts Spyridon Samothrakis overall

1. Freda Shi
2. Steven Y. Feng

Papers from Spyridon Samothrakis's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• A Survey of Monte Carlo Tree Search Methods (2012) — 3,443 citations
• Textual Data Augmentation for Efficient Active Learning on Tiny Datasets (2020) — 50 citations
• The 2014 General Video Game Playing Competition (2016) — 209 citations
• Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy (2019) — 3,592 citations