A. Smola

Artificial Intelligence · 2004–2007

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it; #11,457 of 35,345 by trust here, #12,387 by citations
• Statistical Learning Theory — 7 citations into it

Whom A. Smola trusts overall

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

1. Bernhard Schölkopf
2. Eric R. Ziegel
3. J. Platt
4. Malte Kuss
5. Alex Smola
6. Jyrki Kivinen
7. Tingyao Wu
8. Vladimir Naumovich Vapnik
9. Vladimir Naumovich Vapni

Who trusts A. Smola overall

1. Max Kuhn
2. Andrea Dal Pozzolo
3. Michele A. Saad
4. Nabarun Deb
5. Jan Gertheiss
6. Bastian Siegmann
7. A. Bovik
8. Ingo Feinerer
9. Seth R. Flaxman
10. Michel Grabisch

Papers from A. Smola's perspective

Ordered by how strongly the researchers A. Smola 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. The Nature of Statistical Learning Theory
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Statistical learning theory
10. Learning with Kernels: support vector machines, regularization, optimization, and beyond

Their papers

• Maximum Margin Matrix Factorization for Collaborative Ranking (2007)
• kernlab - An S4 Package for Kernel Methods in R (2004) — 2,010 citations