Frank Schneider

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Frank Schneider trusts overall

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

  1. Ilya Loshchilov
  2. Diederik P. Kingma
  3. Matthew D. Zeiler
  4. Yurii E. Nesterov
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Boris Polyak
  8. Alex Krizhevsky
  9. Christian Szegedy
  10. Yann LeCun

Who trusts Frank Schneider overall

  1. Felix Dangel
  2. Prabhu Teja Sivaprasad
  3. Dami Choi
  4. Frederik Kunstner
  5. Florian Mai
  6. Christopher J. Shallue

Papers from Frank Schneider's perspective

Ordered by how strongly the researchers Frank Schneider 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. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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