Julien Audibert

Computer Networks and Communications · 2020

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

Subfields

Whom Julien Audibert trusts overall

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

  1. Aditya P. Mathur
  2. Sepp Hochreiter
  3. David E. Rumelhart
  4. Geoffrey E. Hinton
  5. Ian J. Goodfellow
  6. J. Urgen Schmidhuber
  7. Ya Su
  8. Chuxu Zhang
  9. Nils Ole Tippenhauer
  10. Ronald J. Williams

Who trusts Julien Audibert overall

  1. Ahmed Abdulaal
  2. Kukjin Choi
  3. Astha Garg
  4. Zhihan Li
  5. Zhuanghua Liu

Papers from Julien Audibert's perspective

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

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