Eric Hunsberger

Artificial Intelligence · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Hunsberger trusts overall

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

  1. Alex Krizhevsky
  2. Chris Eliasmith
  3. Yann LeCun
  4. Yoshua Bengio
  5. Pascal Vincent
  6. Pierre Sermanet
  7. Joseph M. Brader
  8. Geoffrey E. Hinton
  9. G. Fiquet
  10. Bernhard Nessler

Who trusts Eric Hunsberger overall

  1. Friedemann Zenke
  2. Emre O. Neftci
  3. Bing Han
  4. Junhaeng Lee
  5. Wei Fang
  6. Gopalakrishnan Srinivasan
  7. Nitin Rathi
  8. Kaushik Roy
  9. Yujie Wu
  10. Hanle Zheng

Papers from Eric Hunsberger's perspective

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

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

Their papers