Kai-Wei Chang

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Coauteurs

Cho-Jui HsiehUniversity of California, Los AngelesAdresse e-mail validée de cs.ucla.edu
Nanyun (Violet) PengAssociate Professor, UCLAAdresse e-mail validée de cs.ucla.edu
Wasi Uddin AhmadSenior Research Scientist, NVIDIAAdresse e-mail validée de ucla.edu
Jieyu ZhaoAssistant Professor at USCAdresse e-mail validée de usc.edu
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIAdresse e-mail validée de csie.ntu.edu.tw
Liunian Harold LiOpenAIAdresse e-mail validée de cs.ucla.edu
Da YinPhD Student, UCLAAdresse e-mail validée de cs.ucla.edu
Pan LuStanford UniversityAdresse e-mail validée de stanford.edu
Mark YatskarUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu
Kuan-Hao HuangAssistant Professor, Texas A&M UniversityAdresse e-mail validée de tamu.edu
Venkatesh SaligramaAI Professor and Amazon ScholarAdresse e-mail validée de bu.edu
Adam Tauman KalaiOpenAIAdresse e-mail validée de openai.com
Yizhou SunProfessor, Computer Science, UCLAAdresse e-mail validée de cs.ucla.edu
Dan RothProfessor of Computer Science, University of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Saikat ChakrabortySenior Researcher at Microsoft ResearchAdresse e-mail validée de microsoft.com
Prem NatarajanCapital One; Amazon; University of Southern California, Information Sciences Institute; Fellow, IEEEAdresse e-mail validée de ieee.org
Aram GalstyanUSC ISI & Amazon AGIAdresse e-mail validée de isi.edu
Baishakhi RayAssociate Professor, Columbia UniversityAdresse e-mail validée de cs.columbia.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityAdresse e-mail validée de rice.edu
James ZouStanford UniversityAdresse e-mail validée de stanford.edu

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Kai-Wei Chang

Associate Professor, UCLA

Adresse e-mail validée de kwchang.net - Page d'accueil

Natural Language Processing Machine Learning Vision-Language Trustworthy NLP


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	10085	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	4172	2016
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	2099	2019
Men also like shopping: Reducing gender bias amplification using corpus-level constraints J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang EMNLP, 2017	1247	2017
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	1230	2008
Grounded language-image pre-training LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	1157	2022
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP, 2018	1126	2018
Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL, 2018	1061	2018
Learn to explain: Multimodal reasoning via thought chains for science question answering P Lu, S Mishra, T Xia, L Qiu, KW Chang, SC Zhu, O Tafjord, P Clark, ... Advances in Neural Information Processing Systems 35, 2507-2521, 2022	933	2022
Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2103.06333, 2021	815	2021
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	761	2010
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	735	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	649	2019
Gpt-gnn: Generative pre-training of graph neural networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020	637	2020
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	535	2019
Learning gender-neutral word embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP, 2018	515	2018
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	486	2019
How much can clip benefit vision-and-language tasks? S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ... arXiv preprint arXiv:2107.06383, 2021	460	2021
A Transformer-based Approach for Source Code Summarization W Uddin Ahmad, S Chakraborty, B Ray, KW Chang ACL, 2020	455*	2020
Chameleon: Plug-and-play compositional reasoning with large language models P Lu, B Peng, H Cheng, M Galley, KW Chang, YN Wu, SC Zhu, J Gao Advances in Neural Information Processing Systems 36, 2024	396	2024

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