Tal Friedman

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tal Friedman trusts overall

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

  1. Adnan Darwiche
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Sergey Ioffe
  6. Vinod Nair
  7. Yoshua Bengio
  8. Jimmy Ba

Papers from Tal Friedman's perspective

Ordered by how strongly the researchers Tal Friedman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Learning Multiple Layers of Features from Tiny Images
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Rectified Linear Units Improve Restricted Boltzmann Machines
  10. ImageNet: A large-scale hierarchical image database

Their papers