Perttu Hämäläinen

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Evaluation & Benchmarks — 5 citations into it
• Generative Models — 5 citations into it

Whom Perttu Hämäläinen trusts overall

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

1. Alec Radford
2. Yoshua Bengio
3. Ilya Sutskever
4. Geoffrey E. Hinton
5. Ashish Vaswani
6. Stanislau Semeniuta
7. Diederik P. Kingma
8. Maarten Grootendorst
9. Martin Heusel
10. Alex Krizhevsky

Papers from Perttu Hämäläinen's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Evaluating Large Language Models in Generating Synthetic HCI Research Data: a Case Study (2023) — 330 citations