Sameena Shah

Conference on Empirical Methods in Natural Language Processing · 2015–2021

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Sameena Shah trusts overall

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

  1. Diederik P. Kingma

Who trusts Sameena Shah overall

  1. Wenhu Chen

Papers from Sameena Shah's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Efficient Estimation of Word Representations in Vector Space
  7. ImageNet classification with deep convolutional neural networks
  8. Long Short-Term Memory
  9. RoBERTa: A Robustly Optimized BERT Pretraining Approach (arXiv.org)
  10. Gradient-based learning applied to document recognition

Their papers