Mobarak Islam Hoque

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mobarak Islam Hoque trusts overall

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

  1. Chin-Yew Lin
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Satanjeev Banerjee
  5. Ramakrishna Vedantam
  6. X. Zhang
  7. Marcella Cornia
  8. Arsenii Ashukha
  9. Alex Krizhevsky
  10. Shaoqing Ren

Papers from Mobarak Islam Hoque's perspective

Ordered by how strongly the researchers Mobarak Islam Hoque 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers