Pekka Marttinen

Artificial Intelligence · with Cambria · 2020

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 136 citations into it
• Natural Language Processing — 35 citations into it
• Management Science and Operations Research — 24 citations into it
• Graph Learning — 21 citations into it
• Representation & Self-Supervised Learning — 12 citations into it

Whom Pekka Marttinen trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Antoine Bordes
4. Diederik P. Kingma
5. Richard Socher
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yann LeCun
9. Jason Aaron Edward Weston
10. Kaiming He

Papers from Pekka Marttinen's perspective

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

Their papers

• A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2020) — 2,800 citations