Maarten Speekenbrink

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Maarten Speekenbrink trusts overall

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

  1. Christopher K. I. Williams
  2. Andrew Gordon Wilson
  3. Hirotugu Akaike
  4. Samuel J. Gershman
  5. Ali Rahimi
  6. Neil D. Lawrence
  7. David Kristjanson Duvenaud
  8. Geoffrey E. Hinton
  9. Radford M. Neal
  10. David M. Blei

Who trusts Maarten Speekenbrink overall

  1. Zhaoyi Xu

Papers from Maarten Speekenbrink's perspective

Ordered by how strongly the researchers Maarten Speekenbrink 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. Learning Multiple Layers of Features from Tiny Images
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers