Adnan Ul-Hasan

2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Adnan Ul-Hasan trusts overall

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

  1. Alex Graves
  2. Raymond W. Smith
  3. J. Urgen Schmidhuber
  4. Sepp Hochreiter
  5. Yoshua Bengio
  6. Salvador España Boquera

Papers from Adnan Ul-Hasan's perspective

Ordered by how strongly the researchers Adnan Ul-Hasan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Long Short-Term Memory
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Learning long-term dependencies with gradient descent is difficult
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies
  8. Learning Multiple Layers of Features from Tiny Images
  9. A tutorial on hidden Markov models and selected applications in speech recognition
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers