Nicolas Pröllochs

2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Whom Nicolas Pröllochs trusts overall

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

  1. Richard S. Sutton
  2. Charles Sutton
  3. Tim Loughran
  4. Andrew Barto
  5. Peter F. Brown
  6. Andrew McCallum
  7. Bill McDonald
  8. Radford M. Neal
  9. V. D. Pietra
  10. Bo Pang

Who trusts Nicolas Pröllochs overall

  1. Leonardo dos Santos Pinheiro
  2. Mark Dras
  3. Stefan Feuerriegel

Papers from Nicolas Pröllochs's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Reinforcement Learning: An Introduction
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers