Naveed Akhtar

Artificial Intelligence · 2015–2021

A researcher in the Science corpus: 5 papers; trusts 1,084 researchers and is trusted by 38 researchers here, as inferred from the citation graph.

Subfields

Whom Naveed Akhtar trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Christian Szegedy
  4. Ian J. Goodfellow
  5. Yann LeCun
  6. Kaiming He
  7. Yoshua Bengio
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Karen Simonyan

Who trusts Naveed Akhtar overall

  1. Avishek Joey Bose
  2. Shubham Sharma
  3. Vishaal Munusamy Kabilan
  4. Daniel M. Low
  5. Fatima Hussain
  6. Yanbo Fan
  7. Maksym Andriushchenko
  8. Matthias Minderer
  9. Renwei Dian
  10. Baoyuan Wu

Papers from Naveed Akhtar's perspective

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

Their papers