Hossein Taheri

Computer Networks and Communications · with Hassani · 2019

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hossein Taheri trusts overall

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

  1. Wei Shi
  2. Angelia Nedić
  3. Aryan Mokhtari
  4. Qing Ling
  5. Michael G. Rabbat
  6. Chang-Shen Lee
  7. Alejandro Ribeiro
  8. John C. Duchi
  9. Kevin Scaman
  10. Kun Yuan

Papers from Hossein Taheri's perspective

Ordered by how strongly the researchers Hossein Taheri 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. Gradient-based learning applied to document recognition
  6. Distributed Subgradient Methods for Multi-Agent Optimization
  7. Long Short-Term Memory
  8. Large Scale Distributed Deep Networks
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers