Sylvain Gelly

Computer Vision and Pattern Recognition · with Tolstikhin · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Sylvain Gelly trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Kaiming He
  5. Yoshua Bengio
  6. Sergey Ioffe
  7. Alex Krizhevsky

Who trusts Sylvain Gelly overall

  1. Samarth Sinha
  2. Stefano Ermon
  3. Adji Bousso Dieng
  4. Yedid Hoshen

Papers from Sylvain Gelly's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. GENERATIVE ADVERSARIAL NETS
  7. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Learning Multiple Layers of Features from Tiny Images

Their papers