Dimitri Kanevsky

Artificial Intelligence · 2008–2013

A researcher in the Science corpus: 4 papers; trusts 22 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Dimitri Kanevsky trusts overall

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

  1. Li Deng
  2. Geoffrey E. Hinton
  3. Brian Kingsbury
  4. Daniel Povey
  5. E.J. Candes
  6. Robert Tibshirani
  7. Dong Yu
  8. Niko Brummer
  9. Philip C. Woodland
  10. Yoshua Bengio

Who trusts Dimitri Kanevsky overall

  1. Li Deng
  2. Pawel Swietojanski
  3. Tara N. Sainath
  4. Dong Yu
  5. Arnab Ghoshal
  6. Hank Liao
  7. Andrew L. Maas
  8. Geoffrey E. Hinton
  9. Abdel-rahman Mohamed
  10. Vijayaditya Peddinti

Papers from Dimitri Kanevsky's perspective

Ordered by how strongly the researchers Dimitri Kanevsky 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers