Walter José G. S. Pinto

2017

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

Whom Walter José G. S. Pinto trusts overall

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

  1. Jost Tobias Springenberg
  2. Frank Hutter
  3. Matthias Feurer
  4. James Bergstra
  5. Chris J. Thornton
  6. Aaron Klein
  7. Kalyanmoy Deb

Who trusts Walter José G. S. Pinto overall

  1. Felix Mohr
  2. Radwa El Shawi
  3. A. D. Sá
  4. Silvia Nunes das Dôres
  5. Matthias Feurer

Papers from Walter José G. S. Pinto's perspective

Ordered by how strongly the researchers Walter José G. S. Pinto trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Algorithms for Hyper-Parameter Optimization
  3. Scikit-learn: Machine Learning in Python
  4. Random Search for Hyper-Parameter Optimization
  5. Learning Multiple Layers of Features from Tiny Images
  6. Gradient-based learning applied to document recognition
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers