Risto Vuorio

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 145 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 51 citations into it; #23,419 of 35,345 by trust here, #15,542 by citations
• Computer Vision and Pattern Recognition — 40 citations into it; #14,467 of 21,575 by trust here, #10,500 by citations
• Representation & Self-Supervised Learning — 24 citations into it
• Reinforcement Learning — 17 citations into it
• Meta & Continual Learning — 13 citations into it
• Optimization & Training — 11 citations into it
• Cognitive Neuroscience — 8 citations into it

Whom Risto Vuorio trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Yoshua Bengio
4. Chelsea Finn
5. Alex Krizhevsky
6. Kaiming He
7. Yann LeCun
8. J. Urgen Schmidhuber
9. Ilya Sutskever
10. Ruslan Salakhutdinov

Who trusts Risto Vuorio overall

1. Han-Jia Ye
2. Antreas Antoniou
3. Timothy M. Hospedales
4. Hung-Yu Tseng
5. Mehrdad Farajtabar
6. Xu Ji
7. Momin Abbas
8. Giacomo Spigler
9. Amos J. Storkey
10. Hexiang Hu

Papers from Risto Vuorio's perspective

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

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

Their papers

• Meta Continual Learning (2018) — 28 citations
• Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation (2019) — 251 citations
• Model-Agnostic Meta-Learning for Multimodal Task Distributions (2018)