Mikko Honkala

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 160 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 18 citations into it; #7,218 of 35,345 by trust here, #4,559 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #2,910 of 21,575 by trust here, #3,459 by citations
• Optimization & Training — 6 citations into it

Whom Mikko Honkala trusts overall

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

1. Yoshua Bengio
2. Diederik P. Kingma
3. Ian J. Goodfellow
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yann LeCun
7. Jimmy Ba
8. Jason Aaron Edward Weston
9. Pascal Vincent
10. Ilya Sutskever

Who trusts Mikko Honkala overall

1. Lu Liu
2. Yassine Ouali
3. Mehdi S. M. Sajjadi
4. Jost Tobias Springenberg
5. Philip Bachman
6. Casper Kaae Sønderby
7. Chongxuan Li
8. Takeru Miyato
9. Jason Tyler Rolfe
10. Guo-Jun Qi

Papers from Mikko Honkala's perspective

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

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

Their papers

• Semi-supervised Learning with Ladder Networks (2015) — 1,426 citations