Faraz Hussain

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Faraz Hussain trusts

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

  1. Pete Warden (in Artificial Intelligence)
  2. Bradley McDanel (in Computer Vision and Pattern Recognition)
  3. Surat Teerapittayanon (in Computer Vision and Pattern Recognition)
  4. H. T. Kung (in Computer Vision and Pattern Recognition)

Papers from Faraz Hussain's perspective

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

  1. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  2. Deep Compression: Compressing Deep Neural Network with Pruning, Trained Quantization and Huffman Coding
  3. ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
  4. Multimodal Deep Learning
  5. Deep Learning with Limited Numerical Precision
  6. BranchyNet: Fast inference via early exiting from deep neural networks
  7. YOLOv3: An Incremental Improvement
  8. Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
  9. Edge Computing: Vision and Challenges
  10. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge

Their papers