Mátyás Brendel

2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Whom Mátyás Brendel trusts overall

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

  1. Frank Hutter
  2. Thorsten Joachims
  3. Jaka Demsar
  4. Wei Chu

Who trusts Mátyás Brendel overall

  1. Martin Wistuba
  2. Frank Hutter
  3. Matthias Feurer
  4. Katharina Eggensperger
  5. Dani Yogatama
  6. Nicolas Schilling
  7. Gang Luo
  8. Kevin Swersky
  9. Jasper Snoek
  10. Lars Schmidt-Thieme

Papers from Mátyás Brendel's perspective

Ordered by how strongly the researchers Mátyás Brendel trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Practical Bayesian Optimization of Machine Learning Algorithms
  3. Gradient-based learning applied to document recognition
  4. An Analysis of Single-Layer Networks in Unsupervised Feature Learning
  5. Learning Multiple Layers of Features from Tiny Images
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet: A large-scale hierarchical image database
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers