William H. Beluch

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom William H. Beluch trusts overall

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

  1. Alex Krizhevsky
  2. Yarin Gal
  3. Diederik P. Kingma
  4. Geoffrey E. Hinton
  5. Zoubin Ghahramani
  6. Christian Szegedy
  7. Ilya Sutskever
  8. Kaiming He
  9. Jia Deng
  10. Alex Graves

Who trusts William H. Beluch overall

  1. Donggeun Yoo
  2. Ali Ayub
  3. Di Feng
  4. Benedikt Boecking
  5. Prateek Munjal
  6. J. Ash
  7. Daiqing Li
  8. Huan Ling
  9. Yuxuan Zhang
  10. In-So Kweon

Papers from William H. Beluch's perspective

Ordered by how strongly the researchers William H. Beluch 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers