Eric C. Hall

Artificial Intelligence · 2013–2015

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

Whom Eric C. Hall trusts overall

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

  1. Lin Xiao
  2. Nicolò Cesa-Bianchi
  3. Martin A. Zinkevich
  4. Mark Herbster
  5. Manfred K. Warmuth
  6. Nick Littlestone
  7. Gábor Lugosi
  8. András György
  9. John C. Duchi
  10. J. Langford

Who trusts Eric C. Hall overall

  1. Lijun Zhang
  2. Shahin Shahrampour
  3. Yawei Zhao
  4. Alexander Rainer Tassilo Gepperth
  5. András György
  6. Yawei Zhao
  7. Amrit Singh Bedi
  8. Nolan Wagener
  9. Ali Jadbabaie
  10. Rebecca M. Willett

Papers from Eric C. Hall's perspective

Ordered by how strongly the researchers Eric C. Hall 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Learning Multiple Layers of Features from Tiny Images
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  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