Joni Pajarinen

Artificial Intelligence · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 89 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 94 citations into it
• Reinforcement Learning — 71 citations into it
• Control and Systems Engineering — 53 citations into it
• Computer Vision and Pattern Recognition — 32 citations into it
• Robotics & Control — 19 citations into it
• Cognitive Neuroscience — 13 citations into it
• Management Science and Operations Research — 13 citations into it
• Optimization & Training — 10 citations into it

Whom Joni Pajarinen trusts overall

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

1. Pieter Abbeel
2. Sergey Levine
3. Richard S. Sutton
4. Jan Peters
5. Geoffrey E. Hinton
6. Radford M. Neal
7. Chelsea Finn
8. Andrew Y. Ng
9. J. Bagnell
10. Yoshua Bengio

Who trusts Joni Pajarinen overall

1. Faraz Torabi

Papers from Joni Pajarinen's perspective

Ordered by how strongly the researchers Joni Pajarinen 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. GENERATIVE ADVERSARIAL NETS
9. Learning Multiple Layers of Features from Tiny Images
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• An Algorithmic Perspective on Imitation Learning (2018) — 1,031 citations
• Boosted Curriculum Reinforcement Learning (2022) — 11 citations