Stefan Webb

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Stefan Webb trusts overall

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

  1. Radford M. Neal
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Xiaowei Huang
  5. Diederik P. Kingma
  6. Alex Graves
  7. Yoshua Bengio
  8. Tom Minka
  9. Yann LeCun
  10. Ian J. Goodfellow

Who trusts Stefan Webb overall

  1. Daniel M. Ziegler
  2. Balaji Lakshminarayanan

Papers from Stefan Webb's perspective

Ordered by how strongly the researchers Stefan Webb 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers