Tanya Schmah

Artificial Intelligence · 2008–2012

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Tanya Schmah trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Max Welling
  4. Radford M. Neal
  5. Hugo Larochelle
  6. John M. Lee
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ruslan Salakhutdinov
  10. Andrew Y. Ng

Who trusts Tanya Schmah overall

  1. Asja Fischer
  2. Siqi Nie
  3. Yoshua Bengio
  4. Hugo Larochelle
  5. Qiang Ji
  6. Mathieu Germain
  7. Hoo-Chang Shin
  8. Aaron C. Courville
  9. Iain Murray
  10. Karol Gregor

Papers from Tanya Schmah's perspective

Ordered by how strongly the researchers Tanya Schmah 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers