Mikke Tavast

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 Mikke Tavast trusts overall

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

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

Papers from Mikke Tavast's perspective

Ordered by how strongly the researchers Mikke Tavast 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Language Models are Unsupervised Multitask Learners
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

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