Kai-Wei Chang

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Cho-Jui HsiehUniversity of California, Los AngelesVerified email at cs.ucla.edu
Chih-Jen LinProfessor of Computer Science, National Taiwan UniversityVerified email at csie.ntu.edu.tw
Jieyu ZhaoPh.D. student, UCLAVerified email at ucla.edu
Dan RothProfessor of Computer Science, University of PennsylvaniaVerified email at seas.upenn.edu
Venkatesh SaligramaProfessor, Electrical and Computer Engineering, Boston UniversityVerified email at bu.edu
Mark YatskarAllen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Wasi Uddin AhmadPh.D. student, UCLAVerified email at ucla.edu
Adam Tauman KalaiMicrosoft ResearchVerified email at microsoft.com
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityVerified email at rice.edu
Tianlu WangFacebook AI ResearchVerified email at fb.com
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
James ZouStanford UniversityVerified email at stanford.edu
Liunian Harold LiUniversity of California, Los AngelesVerified email at cs.ucla.edu
Yichao ZhouUniversity of California, Los AngelesVerified email at g.ucla.edu
Hal Daumé IIIAssociate Professor of Computer Science, University of MarylandVerified email at umiacs.umd.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
Carlo ZanioloProfessor of Computer Science, University of California, Los AngelesVerified email at cs.ucla.edu
Muhao ChenAssistant Research Professor of Computer Science, USCVerified email at ucla.edu

Kai-Wei Chang

Assistant Professor, UCLA

Verified email at kwchang.net - Homepage

Natural Language Processing Machine Learning Structured Prediction Algorithmic Fairness


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LIBLINEAR: A library for large linear classification RE Fan, KW Chang, CJ Hsieh, XR Wang, CJ Lin the Journal of machine Learning research 9, 1871-1874, 2008	8723	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	1444	2016
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	1042	2008
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	496	2010
Men also like shopping: Reducing gender bias amplification using corpus-level constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang EMNLP, 2017	443	2017
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP, 2018	339	2018
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	285	2008
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	272	2010
Visualbert: A simple and performant baseline for vision and language LH Li, M Yatskar, D Yin, CJ Hsieh, KW Chang arXiv preprint arXiv:1908.03557, 2019	260	2019
Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL, 2018	241	2018
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	197	2010
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	189	2014
Learning gender-neutral word embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP, 2018	180	2018
Learning to search better than your teacher KW Chang, A Krishnamurthy, A Agarwal, H Daumé III, J Langford ICML, 2015	177	2015
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	162	2008
Mitigating gender bias in natural language processing: Literature review T Sun, A Gaut, S Tang, Y Huang, M ElSherief, J Zhao, D Mirza, E Belding, ... ACL, 2019	137	2019
Gender bias in contextualized word embeddings J Zhao, T Wang, M Yatskar, R Cotterell, V Ordonez, KW Chang Proceedings of the 2019 Conference of the North American Chapter of the …, 2019	134	2019
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment M Chen, Y Tian, KW Chang, S Skiena, C Zaniolo IJCAI, 2018	98	2018
Balanced datasets are not enough: Estimating and mitigating gender bias in deep image representations T Wang, J Zhao, M Yatskar, KW Chang, V Ordonez Proceedings of the IEEE International Conference on Computer Vision, 5310-5319, 2019	90*	2019
The Woman Worked as a Babysitter: On Biases in Language Generation E Sheng, KW Chang, P Natarajan, N Peng Proceedings of the 2019 Conference on Empirical Methods in Natural Language, 2019	82	2019

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