Oliver Hinder

Optimization & Training · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Hinder trusts overall

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

  1. Yurii E. Nesterov
  2. Zeyuan Allen-Zhu
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yair Carmon
  8. Jorge Nocedal
  9. William W. Hager
  10. John C. Duchi

Who trusts Oliver Hinder overall

  1. Rachel A. Ward
  2. Yair Carmon
  3. Zeyuan Allen-Zhu
  4. Chi Jin
  5. Cong Fang
  6. Leonard Adolphs
  7. Jonas Köhler
  8. Xiaoxia Wu
  9. John C. Duchi
  10. Blake E. Woodworth

Papers from Oliver Hinder's perspective

Ordered by how strongly the researchers Oliver Hinder 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. Gradient-based learning applied to document recognition
  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: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers