Sweta Agrawal
Artificial Intelligence · 2018–2024
A researcher in the Science corpus: 6 papers; trusts 56 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 114 citations into it; #14,319 of 35,345 by trust here, #10,319 by citations
- Natural Language Processing — 97 citations into it
- Evaluation & Benchmarks — 40 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Large Language Models — 18 citations into it
- Information Systems — 14 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
Whom Sweta Agrawal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoon Kim
- Diederik P. Kingma
- Yoshua Bengio
- Jeffrey Pennington
- Matt Post
- Christopher D. Manning
- Richard Socher
- Ilya Sutskever
- L. V. D. van der Maaten
Who trusts Sweta Agrawal overall
- Michael Wiegand
- Kanika Narang
- Rui Cao
- Thanh Thuy Trang Tran
- Chris Brew
- Qihuang Zhong
- Wenxiang Jiao
- Josef Ruppenhofer
- Roy Ka-Wei Lee
- David Vilar
Papers from Sweta Agrawal's perspective
Ordered by how strongly the researchers Sweta Agrawal trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets (2021) — 356 citations
- Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer (2021) — 39 citations
- Deep Learning for Detecting Cyberbullying Across Multiple Social Media Platforms (2018) — 349 citations
- The Prompt Report: A Systematic Survey of Prompting Techniques (2024) — 309 citations
- In-context Examples Selection for Machine Translation (2022) — 260 citations
- A Review of Human Evaluation for Style Transfer (2021) — 32 citations