Sebastian Seung

Computer Vision and Pattern Recognition · 1997–2012

A researcher in the Science corpus: 3 papers; trusts 62 researchers and is trusted by 716 researchers here, as inferred from the citation graph.

Subfields

Whom Sebastian Seung trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Teuvo Kohonen
  4. L. Eon Bottou
  5. Stuart Geman
  6. Yair Weiss
  7. David E. Rumelhart
  8. Yoshua Bengio
  9. Stefan Roth
  10. William T. Freeman

Who trusts Sebastian Seung overall

  1. Yoshua Bengio
  2. Pascal Vincent
  3. Aaron C. Courville
  4. Geoffrey E. Hinton
  5. J. Urgen Schmidhuber
  6. Chunhua Shen
  7. Alan L. Yuille
  8. Sergey Levine
  9. Viren Jain
  10. Xiaogang Wang

Papers from Sebastian Seung's perspective

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