Mikko Haavisto

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 176 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 9 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Mikko Haavisto trusts overall

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

1. Geoffrey E. Hinton
2. Yann LeCun
3. Alex Krizhevsky
4. Yoshua Bengio
5. Ilya Sutskever
6. Honglak Lee
7. L. Eon Bottou
8. Andrew Y. Ng
9. Pascal Vincent
10. Adam Coates

Who trusts Mikko Haavisto overall

1. David Lopez-Paz

Papers from Mikko Haavisto's perspective

Ordered by how strongly the researchers Mikko Haavisto 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Pretraining Convolutional Neural Networks for Visual Recognition (2016) — 63 citations