Roy Schwartz

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Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Jesse DodgeAllen Institute for AIAdresse e-mail validée de allenai.org
Ari RappoportAssociate Professor of Computer Science, The Hebrew UniversityAdresse e-mail validée de mail.huji.ac.il
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceAdresse e-mail validée de cs.washington.edu
Hao PengUniversity of Illinois Urbana-ChampaignAdresse e-mail validée de illinois.edu
Swabha SwayamdiptaUniversity of Southern CaliforniaAdresse e-mail validée de usc.edu
Hannaneh HajishirziUniversity of Washington; Allen AIAdresse e-mail validée de cs.washington.edu
Suchin GururanganUniversity of WashingtonAdresse e-mail validée de cs.washington.edu
Oren EtzioniProfessor, University of WashingtonAdresse e-mail validée de cs.uw.edu
Omer LevyMetaAdresse e-mail validée de meta.com
Gabriel StanovskyThe Hebrew University of JerusalemAdresse e-mail validée de mail.huji.ac.il
Matthew E PetersSpiffy AI, Allen Institute for Artificial IntelligenceAdresse e-mail validée de allenai.org
Nikolaos PappasAmazon (AWS AI Labs)Adresse e-mail validée de amazon.com
Roi ReichartTechnion - Israel Institute of TechnologyAdresse e-mail validée de ie.technion.ac.il
Michael HassidFAIR (AI at Meta), Hebrew University of JerusalemAdresse e-mail validée de mail.huji.ac.il
Emma StrubellAssistant Professor, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Yonatan BittonResearch Scientist, GoogleAdresse e-mail validée de google.com
Samuel R. BowmanNYU and AnthropicAdresse e-mail validée de nyu.edu
William MerrillNew York UniversityAdresse e-mail validée de nyu.edu
Yoav GoldbergProfessor, Bar Ilan University. Research Director, AI2-IsraelAdresse e-mail validée de cs.biu.ac.il

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Roy Schwartz

Senior lecturer, the School of Computer Science, the Hebrew University of Jerusalem

Adresse e-mail validée de mail.huji.ac.il - Page d'accueil

Natural Language Processing Artificial Intelligence Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Green AI R Schwartz, J Dodge, NA Smith, O Etzioni CACM 63 (December 2020), 54-63, 2020	1274	2020
Annotation Artifacts in Natural Language Inference Data S Gururangan, S Swayamdipta, O Levy, R Schwartz, SR Bowman, ... NAACL-HLT 2018, 2018	1133	2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference R Zellers, Y Bisk, R Schwartz, Y Choi EMNLP 2018, 2018	752	2018
Knowledge Enhanced Contextual Word Representations ME Peters, M Neumann, RL Logan IV, R Schwartz, V Joshi, S Singh, ... EMNLP 2019, 2019	747	2019
Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping J Dodge, G Ilharco, R Schwartz, A Farhadi, H Hajishirzi, N Smith arXiv:2002.06305, 2020	538	2020
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics S Swayamdipta, R Schwartz, N Lourie, Y Wang, H Hajishirzi, NA Smith, ... EMNLP 2020, 2020	313	2020
Random Feature Attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong ICLR 2021, 2021	279	2021
Show Your Work: Improved Reporting of Experimental Results J Dodge, S Gururangan, D Card, R Schwartz, NA Smith EMNLP 2019, 2019	256	2019
Authorship Attribution of Micro-Messages R Schwartz, O Tsur, A Rappoport, M Koppel EMNLP 2013, 2013	183	2013
A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications D Kang, W Ammar, B Dalvi, M van Zuylen, S Kohlmeier, E Hovy, ... NAACL 2018, 2018	182	2018
The Right Tool for the Job: Matching Model and Instance Complexities R Schwartz, G Stanovsky, S Swayamdipta, J Dodge, NA Smith ACL 2020, 2020	148	2020
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction. R Schwartz, R Reichart, A Rappoport CoNLL 2015, 2015	141	2015
The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task R Schwartz, M Sap, I Konstas, L Zilles, Y Choi, NA Smith CoNLL 2017, 2017	118	2017
Measuring the Carbon Intensity of AI in Cloud Instances J Dodge, T Prewitt, RTD Combes, E Odmark, R Schwartz, E Strubell, ... FAccT 2022, 2022	109	2022
Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NF Liu, R Schwartz, NA Smith NAACL 2019, 2019	106	2019
How well do distributional models capture different types of semantic knowledge? D Rubinstein, E Levi, R Schwartz, A Rappoport ACL 2015, 2015	85	2015
Data Contamination: From Memorization to Exploitation I Magar, R Schwartz ACL 2022, 2022	71	2022
A Formal Hierarchy of RNN Architectures W Merrill, G Weiss, Y Goldberg, R Schwartz, NA Smith, E Yahav ACL 2020, 2020	64	2020
Learnability-Based Syntactic Annotation Design R Schwartz, O Abend, A Rappoport COLING 2012, 2012	63	2012
Provable Limitations of Acquiring Meaning from Ungrounded Form: What will Future Language Models Understand? W Merrill, Y Goldberg, R Schwartz, NA Smith TACL, 2021	62	2021

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