Shahbaz Syed

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Shahbaz Syed trusts overall

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

  1. Chin-Yew Lin
  2. Hoa Trang Dang
  3. Ani Nenkova
  4. Alexander M. Rush
  5. Rebecca J. Passonneau
  6. Tomas Mikolov
  7. Sumit Chopra
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. Natalie Schluter

Who trusts Shahbaz Syed overall

  1. J'er'emy Scheurer
  2. Sebastian Gehrmann
  3. Jon Ander Campos
  4. Adam Gleave
  5. Akash Kumar Mohankumar

Papers from Shahbaz Syed's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Long Short-Term Memory
  4. ImageNet classification with deep convolutional neural networks
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. GloVe: Global Vectors for Word Representation
  7. Efficient Estimation of Word Representations in Vector Space
  8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  9. Language Models are Unsupervised Multitask Learners
  10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers