Thomas Skjødeberg Toftegaard

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Skjødeberg Toftegaard trusts overall

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

  1. Zhe Zhu
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Sergey Ioffe
  5. Alex Krizhevsky
  6. Alexandru Cristian Telea
  7. Xavier Glorot
  8. David E. Rumelhart

Papers from Thomas Skjødeberg Toftegaard's perspective

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

Their papers