Valentin Liévin

Computer Vision and Pattern Recognition · with Fraccaro · 2019

A researcher in the Science corpus: 1 paper; trusts 67 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Valentin Liévin trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Ruslan Salakhutdinov
  5. Danilo Jimenez Rezende
  6. Yann LeCun
  7. Tim Salimans
  8. Michael I. Jordan
  9. Radford M. Neal
  10. Alex Krizhevsky

Who trusts Valentin Liévin overall

  1. Rewon Child
  2. Arash Vahdat
  3. Thomas Bird

Papers from Valentin Liévin's perspective

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

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

Their papers