Eldar Kurtic

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Eldar Kurtic trusts overall

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

  1. James Martens
  2. Diederik P. Kingma
  3. Jimmy Ba
  4. Shun-ichi Amari
  5. Kaiming He
  6. Geoffrey E. Hinton
  7. Roger Baker Grosse
  8. Yoshua Bengio
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Eldar Kurtic overall

  1. Elias Frantar
  2. Dan Alistarh
  3. Eugenia Iofinova

Papers from Eldar Kurtic's perspective

Ordered by how strongly the researchers Eldar Kurtic 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. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers