Aske Plaat

Artificial Intelligence · 2009–2020

A researcher in the Science corpus: 3 papers; trusts 457 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it
• Computer Vision and Pattern Recognition — 71 citations into it
• Representation & Self-Supervised Learning — 33 citations into it
• Model Architectures — 25 citations into it
• Optimization & Training — 24 citations into it
• Meta & Continual Learning — 17 citations into it
• Reinforcement Learning — 14 citations into it
• Evaluation & Benchmarks — 11 citations into it

Whom Aske Plaat trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Diederik P. Kingma
5. Yann LeCun
6. Ilya Sutskever
7. J. Urgen Schmidhuber
8. Alex Graves
9. Kaiming He
10. David G. Lowe

Papers from Aske Plaat's perspective

Ordered by how strongly the researchers Aske Plaat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
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. Going deeper with convolutions

Their papers

• A survey of deep meta-learning (2020) — 418 citations
• On the Impact of Data Set Size in Transfer Learning Using Deep Neural Networks (2016) — 133 citations
• Frontiers in Artificial Intelligence and Applications (2009) — 556 citations