Shilpa Arora
Artificial Intelligence · 2008–2010
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #26,942 of 35,345 by trust here, #34,213 by citations
- Natural Language Processing — 16 citations into it; #4,316 of 5,688 by trust here, #5,214 by citations
- Information Systems — 8 citations into it
Whom Shilpa Arora trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bo Pang
- Michael Gamon
- Daniel Klein
- Lillian Lee
- Theresa Wilson
- Mukund Deshpande
- Christopher D. Manning
- John R. Koza
- Minqing Hu
- Ani Nenkova
Who trusts Shilpa Arora overall
Papers from Shilpa Arora's perspective
Ordered by how strongly the researchers Shilpa Arora trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- Interactive Annotation Learning with Indirect Feature Voting (2009) — 15 citations
- Sentiment Classification using Automatically Extracted Subgraph Features (2010) — 54 citations
- Identifying Real or Fake Articles: Towards better Language Modeling (2008) — 63 citations