Iftekhar Naim

Artificial Intelligence · 2015

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 Iftekhar Naim trusts overall

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

  1. Michael Collins
  2. Nathan D. Ratliff
  3. Kevin P. Murphy
  4. Eugene Charniak
  5. Arthur P. Dempster
  6. Stephan Vogel
  7. Percy Liang
  8. Peter F. Brown
  9. B. Taskar
  10. Mark Johnson

Who trusts Iftekhar Naim overall

  1. Tadas Baltrusaitis
  2. Jean-Baptiste Alayrac
  3. Botian Shi
  4. Chaitanya Ahuja

Papers from Iftekhar Naim's perspective

Ordered by how strongly the researchers Iftekhar Naim 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. 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers