Hubert Eichner

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 18 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Hubert Eichner trusts overall

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

  1. Blake E. Woodworth
  2. H. Brendan McMahan
  3. Martin A. Zinkevich
  4. Alec Go
  5. Nati Srebro
  6. Yurii E. Nesterov
  7. Jakub Konecný
  8. Shai Shalev-Shwartz
  9. Nicolò Cesa-Bianchi
  10. Sepp Hochreiter

Who trusts Hubert Eichner overall

  1. Filip Hanzely
  2. Tian Li
  3. Fan Lai
  4. Yuyang Deng
  5. Christopher Briggs
  6. Peter Kairouz
  7. Mohammad Mohammadi Amiri
  8. Peter Richtárik
  9. Chaoyang He
  10. Rajiv Mathews

Papers from Hubert Eichner's perspective

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

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

Their papers