Nazrul Hoque

Artificial Intelligence · 2014

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nazrul Hoque trusts overall

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

  1. Huan Liu
  2. Thomas G. Dietterich
  3. Avrim Blum
  4. Isabelle M Guyon
  5. Manoranjan Dash
  6. Yiming Yang
  7. Yan Ke
  8. Nojun Kwak
  9. Lei Yu
  10. Hanchuan Peng

Who trusts Nazrul Hoque overall

  1. Prachi Agrawal
  2. Milos D. Radovic
  3. Hattan F. Abutarboush
  4. Mohamed F. Ghalwash

Papers from Nazrul Hoque's perspective

Ordered by how strongly the researchers Nazrul Hoque 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers