Muhammad Enamul Hoque Chowdhury

Artificial Intelligence · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Muhammad Enamul Hoque Chowdhury trusts overall

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

  1. Mingxing Tan
  2. Alex Krizhevsky
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Olaf Ronneberger
  6. Quoc V. Le
  7. Christian Szegedy
  8. Ilya Sutskever
  9. Kaiming He
  10. Tawsifur Rahman

Who trusts Muhammad Enamul Hoque Chowdhury overall

  1. Aytaç Altan
  2. Ferhat Ucar
  3. Tawsifur Rahman
  4. Oona Rainio
  5. Rachna Jain
  6. Michael James Horry
  7. Fahad Shamshad
  8. Amith Abdullah Khandakar
  9. Seçkin Karasu
  10. Deniz Korkmaz

Papers from Muhammad Enamul Hoque Chowdhury's perspective

Ordered by how strongly the researchers Muhammad Enamul Hoque Chowdhury 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Going deeper with convolutions
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers