Lars Karlsson

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 2 papers; trusts 86 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it; #21,270 of 35,345 by trust here, #12,083 by citations
• Computer Vision and Pattern Recognition — 25 citations into it
• Representation & Self-Supervised Learning — 18 citations into it; #2,148 of 3,145 by trust here, #1,582 by citations
• Signal Processing — 14 citations into it; #4,366 of 7,572 by trust here, #1,669 by citations
• Model Architectures — 10 citations into it
• Management Science and Operations Research — 8 citations into it
• Generative Models — 7 citations into it
• Natural Language Processing — 7 citations into it

Whom Lars Karlsson trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Ilya Sutskever
5. Marc'Aurelio Ranzato
6. Alex Krizhevsky
7. L. Eon Bottou
8. David G. Lowe
9. Alex Graves
10. Honglak Lee

Who trusts Lars Karlsson overall

1. Omer Berat Sezer
2. Bahareh Pourbabaee
3. Shengdong Du
4. Hongpeng Yin
5. Limin Sun
6. A. Ozbayoglu

Papers from Lars Karlsson's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A review of unsupervised feature learning and deep learning for time-series modeling (2014) — 1,187 citations
• Human-aware task planning for mobile robots (2009) — 30 citations