Vladimir Naumovich Vapni

Statistical Learning Theory · 2000

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 4,627 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 5 citations into it

Whom Vladimir Naumovich Vapni trusts overall

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

1. Anthony B. Atkinson
2. Tomaso A. Poggio
3. Federico Girosi
4. Andrew R. Barron
5. Charles A. Micchelli
6. Hirotugu Akaike
7. Ray J. Solomonoff
8. James O. Berger
9. George V. Cybenko
10. Gregory J. Chaitin

Who trusts Vladimir Naumovich Vapni overall

1. Yoshua Bengio
2. Ronan Collobert
3. Bernhard Schölkopf
4. J. Urgen Schmidhuber
5. Alex Smola
6. Dacheng Tao
7. Emilio Carrizosa
8. Quoc V. Le
9. Jason Aaron Edward Weston
10. Sergey Levine

Papers from Vladimir Naumovich Vapni's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• The Nature of Statistical Learning Theory (2000) — 45,800 citations