Irina Matveeva

Annual Conference Computational Learning Theory · 2004–2006

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Whom Irina Matveeva trusts overall

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

  1. Thorsten Joachims
  2. Vladimir Naumovich Vapnik
  3. Olivier Bousquet
  4. Luc Devroye
  5. Risi Kondor
  6. Avrim Blum
  7. C. Burges
  8. Martin Szummer
  9. John D. Lafferty
  10. Xiaojin Zhu

Who trusts Irina Matveeva overall

  1. Yoshua Bengio
  2. Bhaskar Mitra
  3. Nick Craswell
  4. Olivier Chapelle
  5. Kirill Dyagilev
  6. Jimmy J. Lin
  7. C. Burges
  8. Fei Wang
  9. Quoc V. Le
  10. Mikhail Belkin

Papers from Irina Matveeva's perspective

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

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

Their papers