Steve Hanna

Information Systems · 2010–2012

A researcher in the Science corpus: 5 papers; trusts 2 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Steve Hanna trusts overall

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

  1. Katherine L. Silversides
  2. J. Kolter
  3. Jiyong Jang
  4. Debin Gao
  5. Chao Liu
  6. Kilian Q. Weinberger
  7. Xin Chen
  8. Adrienne Porter Felt
  9. Erika Chin
  10. Javen Qinfeng Shi

Who trusts Steve Hanna overall

  1. Kimberly Tam
  2. Michael Backes
  3. Sven Bugiel
  4. Hugo Gascón
  5. Nicolas Viennot
  6. Mu Zhang
  7. Jialiu Lin
  8. Michael C. Grace
  9. Felix Fischer
  10. Yajin Zhou

Papers from Steve Hanna's perspective

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

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

Their papers