Iftikhar Ahmad

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Iftikhar Ahmad trusts overall

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

  1. Hadeer Ahmed
  2. William Yang Wang
  3. Vojislav Kecman
  4. Tianqi Chen
  5. Dymitr Ruta
  6. Trevor J. Hastie
  7. Issa Traoré
  8. Verónica Pérez-Rosas
  9. Benjamin Riedel
  10. Robert E. Schapire

Papers from Iftikhar Ahmad's perspective

Ordered by how strongly the researchers Iftikhar Ahmad 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. ImageNet: A large-scale hierarchical image database
  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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers