Syed Saqib Bukhari

Natural Language 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 Syed Saqib Bukhari trusts overall

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

  1. George A. Miller
  2. Michael Elhadad

Papers from Syed Saqib Bukhari's perspective

Ordered by how strongly the researchers Syed Saqib Bukhari trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. ImageNet: A large-scale hierarchical image database
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  6. GloVe: Global Vectors for Word Representation
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Long Short-Term Memory
  9. WordNet: A Lexical Database for English
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers