Amanda Cercas Curry
Artificial Intelligence · 2017–2023
A researcher in the Science corpus: 9 papers; trusts 103 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it; #6,160 of 35,345 by trust here, #5,788 by citations
- Natural Language Processing — 117 citations into it; #1,338 of 5,688 by trust here, #1,245 by citations
- Evaluation & Benchmarks — 38 citations into it; #1,010 of 3,147 by trust here, #1,027 by citations
- Safety, Robustness & Interpretability — 33 citations into it; #921 of 2,251 by trust here, #1,589 by citations
- Sociology and Political Science — 16 citations into it
- AI Ethics, Fairness & Society — 15 citations into it
- Social Psychology — 14 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it
Whom Amanda Cercas Curry trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oriol Vinyals
- Quoc V. Le
- Yoshua Bengio
- Geoffrey E. Hinton
- Verena Rieser
- Richard A. Armstrong
- Marcos Zampieri
- Diederik P. Kingma
- Ilya Sutskever
- Alex Krizhevsky
Who trusts Amanda Cercas Curry overall
- Gavin Abercrombie
- Emily Dinan
- Jing Xu
- Yejin Bang
- Verena Rieser
- A. S. Bergman
- Ondrej Dusek
- Dirk Hovy
- Adyasha Maharana
- Y-Lan Boureau
Papers from Amanda Cercas Curry's perspective
Ordered by how strongly the researchers Amanda Cercas Curry 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
- 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)
Their papers
- Why We Need New Evaluation Metrics for NLG (2017) — 529 citations
- A review of evaluation techniques for social dialogue systems (2017) — 15 citations
- A Crowd-based Evaluation of Abuse Response Strategies in Conversational Agents (2019) — 36 citations
- Mirages: On Anthropomorphism in Dialogue Systems (2023) — 69 citations
- ConvAbuse: Data, Analysis, and Benchmarks for Nuanced Abuse Detection in Conversational AI (2021) — 97 citations
- Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants (2021) — 73 citations
- Conversational Assistants and Gender Stereotypes: Public Perceptions and Desiderata for Voice Personas (2020)
- Alana v2: Entertaining and Informative Open-domain Social Dialogue using Ontologies and Entity Linking (2018) — 54 citations
- Alana: Social Dialogue using an Ensemble Model and a Ranker trained on User Feedback (2017) — 45 citations