Jussi Leinonen

Artificial Intelligence · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Evaluation & Benchmarks — 9 citations into it
• Statistics and Probability — 9 citations into it
• Model Architectures — 7 citations into it
• Optimization & Training — 6 citations into it

Whom Jussi Leinonen trusts

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

1. Quoc V. Le (in Artificial Intelligence)
2. Barret Zoph (in Artificial Intelligence)
3. David Ruppert (in Evaluation & Benchmarks)
4. Eric J. Topol (in Artificial Intelligence)

Papers from Jussi Leinonen's perspective

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

1. Language Models are Unsupervised Multitask Learners
2. ImageNet classification with deep convolutional neural networks
3. Neural Architecture Search with Reinforcement Learning
4. Deep Learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Unbiased look at dataset bias
7. Learning Transferable Architectures for Scalable Image Recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. AutoAugment: Learning Augmentation Policies from Data

Their papers

• HARK Side of Deep Learning - From Grad Student Descent to Automated Machine Learning (2019) — 38 citations
• Observed relations between snowfall microphysics and triple‐frequency radar measurements (2015) — 149 citations