Guy Wolf

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 6 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Guy Wolf trusts overall

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

  1. Diederik P. Kingma
  2. Marco Cuturi
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Danilo Jimenez Rezende
  6. Weihua Hu
  7. Vijay Prakash Dwivedi
  8. Alex Krizhevsky
  9. Ilya Sutskever
  10. Yann LeCun

Papers from Guy Wolf's perspective

Ordered by how strongly the researchers Guy Wolf 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. Attention is All you Need (Neural Information Processing Systems)
  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. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers