Eric Undersander

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 3 papers; trusts 44 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom Eric Undersander trusts overall

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

  1. Yann LeCun
  2. Sepp Hochreiter
  3. Geoffrey E. Hinton
  4. Alex Graves
  5. J. Urgen Schmidhuber
  6. Diederik P. Kingma
  7. Yoshua Bengio
  8. Alex Krizhevsky
  9. Kaiming He
  10. Ilya Sutskever

Who trusts Eric Undersander overall

  1. Qiao Tian
  2. Scott Gray
  3. Gabriele Prato
  4. Tejalal Choudhary
  5. Zhuliang Yao
  6. Sehoon Kim
  7. Max Morrison
  8. Zewang Zhang
  9. Bingbing Li

Papers from Eric Undersander's perspective

Ordered by how strongly the researchers Eric Undersander 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. Long Short-Term Memory
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers