Tamás Horváth

Artificial Intelligence · 2004–2010

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 5 citations into it; #10,557 of 35,345 by trust here, #13,353 by citations

Whom Tamás Horváth trusts overall

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

1. Michihiro Kuramochi
2. Bernhard Schölkopf
3. Foster J. Provost
4. Thomas Gärtner
5. Bernhard E. Boser
6. Rakesh Agrawal
7. Huma Mahmood Lodhi
8. Alex Smola
9. George Karypis
10. Vladimir Naumovich Vapni

Who trusts Tamás Horváth overall

1. Laurent Jacob
2. Jean-Philippe Vert
3. Pierre Mahé
4. Nils M. Kriege
5. Pinar Yanardag
6. Francesco Orsini
7. Nikil Wale
8. Alessio Ceroni
9. Giorgos Bouritsas
10. Paolo Frasconi

Papers from Tamás Horváth's perspective

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

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

Their papers

• Learning from Labeled and Unlabeled Data (2010) — 355 citations
• Cyclic pattern kernels for predictive graph mining (2004) — 377 citations
• Learning in Logic (2010) — 104 citations