Hervé Chabanne

Artificial Intelligence · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hervé Chabanne trusts overall

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

  1. Craig Gentry
  2. Pascal Paillier
  3. Shai Halevi
  4. Nigel P. Smart
  5. Zvika Brakerski
  6. Geoffrey E. Hinton
  7. Sergey Ioffe
  8. Ivan Bjerre Damgård
  9. Alex Krizhevsky
  10. Yoshua Bengio

Who trusts Hervé Chabanne overall

  1. Sameer Wagh
  2. Xuefei Yin
  3. Ehsan Hesamifard
  4. Fatemehsadat Mireshghallah
  5. Assi Barak
  6. Qinbin Li
  7. Amartya Sanyal
  8. Eleftheria Makri
  9. Praneeth Vepakomma
  10. Mohammadkazem Taram

Papers from Hervé Chabanne's perspective

Ordered by how strongly the researchers Hervé Chabanne 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers