Priyanka Agrawal

Artificial Intelligence · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Priyanka Agrawal trusts overall

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

  1. Chin-Yew Lin
  2. Ilya Sutskever
  3. Yoshua Bengio
  4. Geoffrey E. Hinton
  5. Jacob Devlin
  6. Franz Joseph Och
  7. Kyunghyun Cho
  8. Dzmitry Bahdanau
  9. Diederik P. Kingma
  10. Alex Krizhevsky

Who trusts Priyanka Agrawal overall

  1. Or Honovich
  2. Qiaoyu Tang
  3. Cheng-Yu Hsieh
  4. Dan Otter

Papers from Priyanka Agrawal's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. ImageNet classification with deep convolutional neural networks
  6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  7. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  9. Gradient-based learning applied to document recognition
  10. ImageNet: A large-scale hierarchical image database

Their papers