Swabha Swayamdipta

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceDirección de correo verificada de cs.washington.edu
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceDirección de correo verificada de cs.washington.edu
Chris DyerDeepMind, Carnegie MellonDirección de correo verificada de google.com
Doug DowneyAllen Institute for AI and Northwestern UniversityDirección de correo verificada de eecs.northwestern.edu
Chandra BhagavatulaAllen Institute for Artificial IntelligenceDirección de correo verificada de allenai.org
Suchin GururanganUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Roy SchwartzSenior lecturer, the School of Computer Science, the Hebrew University of JerusalemDirección de correo verificada de mail.huji.ac.il
Matthew E PetersSpiffy AI, Allen Institute for Artificial IntelligenceDirección de correo verificada de allenai.org
Rowan ZellersOpenAIDirección de correo verificada de cs.washington.edu
Alisa LiuUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Maarten SapCarnegie Mellon UniversityDirección de correo verificada de cmu.edu
Sam ThomsonMicrosoftDirección de correo verificada de microsoft.com
Iz BeltagyAllen Institute for Artificial IntelligenceDirección de correo verificada de beltagy.net
Kyle LoAllen Institute for Artificial IntelligenceDirección de correo verificada de allenai.org
Ana MarasovićUniversity of UtahDirección de correo verificada de utah.edu
Ronan Le BrasAllen Institute for Artificial IntelligenceDirección de correo verificada de allenai.org
Thomas WolfCo-founder at HuggingFaceDirección de correo verificada de polytechnique.edu
Sebastian RuderResearch Scientist, CohereDirección de correo verificada de cohere.com
Ximing LuUniversity of WashingtonDirección de correo verificada de cs.washington.edu
Zaid HarchaouiUniversity of WashingtonDirección de correo verificada de uw.edu

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Swabha Swayamdipta

University of Southern California

Dirección de correo verificada de usc.edu - Página principal

Natural Language Processing Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks S Gururangan, A Marasović, S Swayamdipta, K Lo, I Beltagy, D Downey, ... Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020	1959	2020
Annotation Artifacts in Natural Language Inference Data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... Proceedings of the 2016 Conference of the North American Chapter of the …, 2018	1129	2018
Transfer Learning in Natural Language Processing S Ruder, ME Peters, S Swayamdipta, T Wolf Proceedings of the 2019 conference of the North American chapter of the …, 2019	653	2019
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020	313	2020
A Dependency Parser for Tweets L Kong, N Schneider, S Swayamdipta, A Bhatia, C Dyer, NA Smith Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014	293	2014
DyNet: The Dynamic Neural Network Toolkit G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ... arXiv preprint arXiv:1701.03980, 2017	273	2017
DExperts: Decoding-time controlled text generation with experts and anti-experts A Liu, M Sap, X Lu, S Swayamdipta, C Bhagavatula, NA Smith, Y Choi Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021	213	2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers K Pillutla, S Swayamdipta, R Zellers, J Thickstun, S Welleck, Y Choi, ... Advances in Neural Information Processing Systems 34, 4816-4828, 2021	203	2021
Adversarial Filters of Dataset Biases R Le Bras, S Swayamdipta, C Bhagavatula, R Zellers, M Peters, ... Proceedings of ICML, 2019	195	2019
G-Daug: Generative Data Augmentation for Commonsense Reasoning Y Yang, C Malaviya, J Fernandez, S Swayamdipta, RL Bras, JP Wang, ... Findings of the Association for Computational Linguistics: EMNLP 2020, 1008 …, 2020	172*	2020
Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection M Sap, S Swayamdipta, L Vianna, X Zhou, Y Choi, NA Smith Proceedings of the 2022 Conference of the North American Chapter of the …, 2021	166	2021
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation A Liu, S Swayamdipta, NA Smith, Y Choi Findings of the Association for Computational Linguistics: EMNLP 2022, 6826–6847, 2022	153	2022
The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020	148	2020
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold S Swayamdipta, S Thomson, C Dyer, NA Smith arXiv preprint arXiv:1706.09528, 2017	141	2017
Challenges in Automated Debiasing for Toxic Language Detection X Zhou, M Sap, S Swayamdipta, NA Smith, Y Choi Proceedings of 16th Conference of the European Chapter of the Association …, 2021	125	2021
Understanding Dataset Difficulty with V-Usable Information. K Ethayarajh, Y Choi, S Swayamdipta International Conference on Machine Learning, 5988-6008, 2022	122*	2022
Syntactic Scaffolds for Semantic Structures S Swayamdipta, S Thomson, K Lee, L Zettlemoyer, C Dyer, NA Smith Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018	116	2018
Reframing Human-AI Collaboration for Generating Free-Text Explanations S Wiegreffe, J Hessel, S Swayamdipta, M Riedl, Y Choi Proceedings of the 2022 Conference of the North American Chapter of the …, 2021	103	2021
Contrastive Explanations for Model Interpretability A Jacovi, S Swayamdipta, S Ravfogel, Y Elazar, Y Choi, Y Goldberg Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021	84	2021
Learning Joint Semantic Parsers from Disjoint Data H Peng, S Thomson, S Swayamdipta, NA Smith Proceedings of the 2018 Conference of the North American Chapter of the …, 2018	68	2018

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