Hervé Stoppiglia

Journal of machine learning research · 2003

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hervé Stoppiglia trusts overall

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

  1. Russell Reed
  2. Pascal Vincent
  3. Yoshua Bengio

Who trusts Hervé Stoppiglia overall

  1. Isabelle M Guyon
  2. Miron Bartosz Kursa
  3. Girish Chandrashekar
  4. Christos Boutsidis
  5. Andre´ Elisseeff
  6. Ferat Sahin
  7. Witold R. Rudnicki
  8. Michael W. Mahoney

Papers from Hervé Stoppiglia's perspective

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

Their papers