Avanika Narayan
Artificial Intelligence · 2021–2022
A researcher in the Science corpus: 3 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it
- Natural Language Processing — 33 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Management Science and Operations Research — 12 citations into it
- Information Systems — 11 citations into it
Whom Avanika Narayan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xu Chu
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Percy Liang
- Jacob Devlin
- Yann LeCun
- Ilya Sutskever
- Alex Krizhevsky
- Ilya Loshchilov
Who trusts Avanika Narayan overall
Papers from Avanika Narayan's perspective
Ordered by how strongly the researchers Avanika Narayan trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- On the Opportunities and Risks of Foundation Models (2021) — 6,923 citations
- Ask Me Anything: A simple strategy for prompting language models (2022) — 275 citations
- Can Foundation Models Wrangle Your Data? (2022) — 344 citations