Anton Kunnari

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 Anton Kunnari trusts overall

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

1. Alec Radford
2. Yoshua Bengio
3. Geoffrey E. Hinton

Papers from Anton Kunnari's perspective

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

Their papers

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