Shannon L. Spruit
Natural Language Processing · 2016–2022
A researcher in the Science corpus: 5 papers; trusts 106 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Natural Language Processing — 258 citations into it; #1,275 of 5,688 by trust here, #1,221 by citations
- Artificial Intelligence — 257 citations into it; #5,725 of 35,345 by trust here, #5,059 by citations
- Safety, Robustness & Interpretability — 140 citations into it; #397 of 2,251 by trust here, #514 by citations
- Information Systems — 43 citations into it
- Sociology and Political Science — 42 citations into it
- Evaluation & Benchmarks — 41 citations into it
- Large Language Models — 37 citations into it
- Computer Vision and Pattern Recognition — 34 citations into it
Whom Shannon L. Spruit trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dirk Hovy
- Emily Dinan
- Geoffrey E. Hinton
- Yoshua Bengio
- Oriol Vinyals
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
- Jason Aaron Edward Weston
- Batya Friedman
Who trusts Shannon L. Spruit overall
- João Sedoc
- Dirk Hovy
- Eduard H. Hovy
- Shrimai Prabhumoye
- Rachel Rudinger
- Lyle Ungar
- Su Lin Blodgett
- Irene Solaiman
- S. Karve
- Xavier Ferrer Aran
Papers from Shannon L. Spruit's perspective
Ordered by how strongly the researchers Shannon L. Spruit trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- 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
- Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021) — 117 citations
- The Social Impact of Natural Language Processing (2016) — 418 citations
- SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems (2022) — 67 citations
- Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design (2022) — 22 citations
- No Language Left Behind: Scaling Human-Centered Machine Translation (2022) — 1,884 citations