M. V. Grinsven

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom M. V. Grinsven trusts overall

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

  1. Alex Krizhevsky
  2. Dana H. Ballard
  3. Karen Simonyan
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Evan Shelhamer
  7. Ilya Sutskever
  8. Dan Claudiu Ciresan
  9. Andrew Zisserman
  10. Yoshua Bengio

Who trusts M. V. Grinsven overall

  1. Along He
  2. Leyuan Fang
  3. Xiaomeng Li
  4. Xiaogang Li
  5. Hyunkwang Lee
  6. Chensi Cao
  7. Luca Saba
  8. Tao Li

Papers from M. V. Grinsven's perspective

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

Their papers