Ruhul Amin Khalil

Signal Processing · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ruhul Amin Khalil trusts overall

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

  1. Dong Yu
  2. Geoffrey E. Hinton
  3. Nelson Morgan
  4. Li Deng
  5. Yoshua Bengio
  6. Björn Schuller
  7. Richard Socher
  8. J. Urgen Schmidhuber
  9. Shashidhar G. Koolagudi
  10. Abdel-rahman Mohamed

Papers from Ruhul Amin Khalil's perspective

Ordered by how strongly the researchers Ruhul Amin Khalil 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers