Erik D. Goodman

Artificial Intelligence · 2000–2018

A researcher in the Science corpus: 5 papers; trusts 153 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Erik D. Goodman trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Barret Zoph
  5. Kalyanmoy Deb
  6. Karen Simonyan
  7. Ilya Sutskever
  8. Christian Szegedy
  9. Yoshua Bengio
  10. Quoc V. Le

Who trusts Erik D. Goodman overall

  1. Alexander P. Topchy
  2. Xiangxiang Chu
  3. I. Fodor

Papers from Erik D. Goodman's perspective

Ordered by how strongly the researchers Erik D. Goodman 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. Going deeper with convolutions
  4. Learning Multiple Layers of Features from Tiny Images
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet: A large-scale hierarchical image database
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers