Raban Iten

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Raban Iten trusts overall

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

  1. Diederik P. Kingma
  2. Yoshua Bengio
  3. Bradley Efron
  4. Geoffrey E. Hinton
  5. Naftali Tishby
  6. Hyunjik Kim
  7. Max Welling
  8. Thomas G. Dietterich
  9. Steven L. Brunton
  10. Djork-Arné Clevert

Who trusts Raban Iten overall

  1. Siwei Yu
  2. Mario Krenn
  3. Jianwei Ma

Papers from Raban Iten's perspective

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

Their papers