Rafael Hraskoa

Probabilistic & Bayesian Methods · 2015

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

Subfields

Whom Rafael Hraskoa trusts overall

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

  1. Geoffrey E. Hinton
  2. Hugo Larochelle
  3. M. A. Carreira-Perpiñán
  4. Yoshua Bengio
  5. Martin T. Hagan
  6. Takashi Kuremoto
  7. Alex Krizhevsky
  8. Radford M. Neal
  9. Ruslan Salakhutdinov
  10. Yann LeCun

Who trusts Rafael Hraskoa overall

  1. Omer Berat Sezer
  2. M. Ugur Gudelek

Papers from Rafael Hraskoa's perspective

Ordered by how strongly the researchers Rafael Hraskoa 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. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  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