Elias Frantar

Artificial Intelligence · 2020–2023

A researcher in the Science corpus: 8 papers; trusts 368 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Elias Frantar trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Yoshua Bengio
  4. James Martens
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Jimmy Ba
  8. Yann LeCun
  9. Ilya Sutskever
  10. Tim Dettmers

Who trusts Elias Frantar overall

  1. Tim Dettmers
  2. Saleh Ashkboos
  3. Dan Alistarh
  4. Mingjie Sun
  5. Jerry Chee
  6. Ying Sheng
  7. Junyi Li
  8. Zichang Liu
  9. Ji Lin
  10. Chankyu Lee

Papers from Elias Frantar's perspective

Ordered by how strongly the researchers Elias Frantar 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers