Vahid Tarokh

Electrical and Electronic Engineering · 2000–2020

A researcher in the Science corpus: 15 papers; trusts 86 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Vahid Tarokh trusts overall

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

  1. Yuhong Yang
  2. Robert Tibshirani
  3. Kenneth G. Paterson
  4. Hui Zou
  5. S. Geisser
  6. Yann LeCun
  7. Geoffrey E. Hinton
  8. David L. Donoho
  9. Cun-Hui Zhang
  10. Kaiming He

Who trusts Vahid Tarokh overall

  1. Bertrand M. Hochwald
  2. Babak Hassibi
  3. Ran Gozali
  4. Deepesh Data
  5. Tao Jiang
  6. Marco Breiling
  7. Syed Ali Jafar
  8. Suhas N. Diggavi
  9. Amin Shokrollahi
  10. David D. Falconer

Papers from Vahid Tarokh's perspective

Ordered by how strongly the researchers Vahid Tarokh trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers