Kai-Wei Chang - Citas de Google Académico

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Coautores

Cho-Jui HsiehUniversity of California, Los AngelesDirección de correo verificada de cs.ucla.edu
Chih-Jen LinProfessor of Computer Science, National Taiwan UniversityDirección de correo verificada de csie.ntu.edu.tw
Dan RothProfessor of Computer Science, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Jieyu ZhaoUCLADirección de correo verificada de ucla.edu
Adam Tauman KalaiMicrosoft ResearchDirección de correo verificada de microsoft.com
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityDirección de correo verificada de bu.edu
Mark YatskarAllen Institute for Artificial IntelligenceDirección de correo verificada de cs.washington.edu
Vicente OrdonezAssistant Professor, Computer Science, University of VirginiaDirección de correo verificada de virginia.edu
James ZouStanford UniversityDirección de correo verificada de stanford.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandDirección de correo verificada de umiacs.umd.edu
John LangfordMicrosoft Research New YorkDirección de correo verificada de hunch.net
Wasi Uddin AhmadPh.D. student, UCLADirección de correo verificada de ucla.edu
Scott Wen-tau YihFacebook AI ResearchDirección de correo verificada de fb.com
Shyam UpadhyayResearch Scientist, GoogleDirección de correo verificada de google.com
Carlo ZanioloProfessor of Computer Science, University of California, Los AngelesDirección de correo verificada de cs.ucla.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Nanyun PengInformation Sciences Institute, University of Southern CaliformiaDirección de correo verificada de isi.edu
Vivek SrikumarAssistant Professor, School of Computing, University of UtahDirección de correo verificada de cs.utah.edu
Ming-Wei ChangGoogle ResearchDirección de correo verificada de google.com
Alekh AgarwalMicrosoft ResearchDirección de correo verificada de microsoft.com

Kai-Wei Chang

Assistant professor, UCLA

Dirección de correo verificada de kwchang.net - Página principal

Natural Language Processing Machine Learning Structured Prediction Algorithmic Fairness


Título	Citado por	Año
LIBLINEAR: A library for large linear classification RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin Journal of machine learning research 9 (Aug), 1871-1874, 2008	7447	2008
A dual coordinate descent method for large-scale linear SVM CJ Hsieh, KW Chang, CJ Lin, SS Keerthi, S Sundararajan Proceedings of the 25th international conference on Machine learning, 408-415, 2008	897	2008
Man is to computer programmer as woman is to homemaker? debiasing word embeddings T Bolukbasi, KW Chang, JY Zou, V Saligrama, AT Kalai Advances in neural information processing systems, 4349-4357, 2016	577	2016
Training and testing low-degree polynomial data mappings via linear SVM YW Chang, CJ Hsieh, KW Chang, M Ringgaard, CJ Lin The Journal of Machine Learning Research 99, 1471-1490, 2010	384	2010
A comparison of optimization methods and software for large-scale l1-regularized linear classification GX Yuan, KW Chang, CJ Hsieh, CJ Lin The Journal of Machine Learning Research 9999, 3183-3234, 2010	249	2010
Coordinate descent method for large-scale l2-loss linear support vector machines KW Chang, CJ Hsieh, CJ Lin The Journal of Machine Learning Research 9, 1369-1398, 2008	247	2008
Men also like shopping: Reducing gender bias amplification using corpus-level constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang EMNLP, 2017	188	2017
Large linear classification when data cannot fit in memory HF Yu, CJ Hsieh, KW Chang, CJ Lin Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	182	2010
A sequential dual method for large scale multi-class linear SVMs SS Keerthi, S Sundararajan, KW Chang, CJ Hsieh, CJ Lin Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	148	2008
Typed tensor decomposition of knowledge bases for relation extraction KW Chang, W Yih, B Yang, C Meek Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014	145	2014
Learning to search better than your teacher KW Chang, A Krishnamurthy, A Agarwal, H Daumé III, J Langford ICML, 2015	115	2015
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP, 2018	69	2018
Multi-Relational Latent Semantic Analysis KW Chang, W Yih, C Meek EMNLP, 2013	64	2013
Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL, 2018	57	2018
Efficient pattern-based time series classification on GPU KW Chang, B Deka, WMW Hwu, D Roth 2012 IEEE 12th International Conference on Data Mining, 131-140, 2012	57	2012
A Constrained Latent Variable Model for Coreference Resolution KW Chang, R Samdani, D Roth EMNLP, 2013	51	2013
Learning gender-neutral word embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP, 2018	49	2018
The Illinois-Columbia system in the CoNLL-2014 shared task A Rozovskaya, KW Chang, M Sammons, D Roth, N Habash Proceedings of the Eighteenth Conference on Computational Natural Language …, 2014	45	2014
Inference protocols for coreference resolution KW Chang, R Samdani, A Rozovskaya, N Rizzolo, M Sammons, D Roth Proceedings of the Fifteenth Conference on Computational Natural Language …, 2011	41	2011
The University of Illinois system in the CoNLL-2013 shared task A Rozovskaya, KW Chang, M Sammons, D Roth Proceedings of the Seventeenth Conference on Computational Natural Language …, 2013	40	2013

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