Kai-Wei Chang

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Cho-Jui HsiehUniversity of California, Los AngelesEmail verificata su cs.ucla.edu
Nanyun (Violet) PengAssociate Professor, UCLAEmail verificata su cs.ucla.edu
Wasi Uddin AhmadSenior Research Scientist, NVIDIAEmail verificata su ucla.edu
Jieyu ZhaoAssistant Professor at USCEmail verificata su usc.edu
Chih-Jen LinDistinguished professor, National Taiwan University and affiliated professor, MBZUAIEmail verificata su csie.ntu.edu.tw
Liunian Harold LiUniversity of California, Los AngelesEmail verificata su cs.ucla.edu
Da YinPhD Student, UCLAEmail verificata su cs.ucla.edu
Mark YatskarUniversity of PennsylvaniaEmail verificata su cis.upenn.edu
Venkatesh SaligramaAI Professor and Amazon ScholarEmail verificata su bu.edu
Kuan-Hao HuangAssistant Professor, Texas A&M UniversityEmail verificata su tamu.edu
Pan LuStanford UniversityEmail verificata su stanford.edu
Adam Tauman KalaiOpenAIEmail verificata su openai.com
Dan RothProfessor of Computer Science, University of PennsylvaniaEmail verificata su seas.upenn.edu
Yizhou SunProfessor, Computer Science, UCLAEmail verificata su cs.ucla.edu
Prem NatarajanCapital One; Amazon; University of Southern California, Information Sciences Institute; Fellow, IEEEEmail verificata su ieee.org
Saikat ChakrabortySenior Researcher at Microsoft ResearchEmail verificata su microsoft.com
Baishakhi RayAssociate Professor, Columbia UniversityEmail verificata su cs.columbia.edu
Vicente OrdóñezAssociate Professor, Computer Science, Rice UniversityEmail verificata su rice.edu
James ZouStanford UniversityEmail verificata su stanford.edu
Aram GalstyanUSC ISI & Amazon AGIEmail verificata su isi.edu

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Kai-Wei Chang

Associate Professor, UCLA

Email verificata su kwchang.net - Home page

Natural Language Processing Machine Learning Vision-Language Trustworthy NLP


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	10040	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	3979	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	1976	2019
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	1220	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	1193	2017
Generating natural language adversarial examples M Alzantot, Y Sharma, A Elgohary, BJ Ho, M Srivastava, KW Chang EMNLP, 2018	1085	2018
Gender bias in coreference resolution: Evaluation and debiasing methods J Zhao, T Wang, M Yatskar, V Ordonez, KW Chang NAACL, 2018	1022	2018
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	1010	2022
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	750	2010
Unified pre-training for program understanding and generation WU Ahmad, S Chakraborty, B Ray, KW Chang arXiv preprint arXiv:2103.06333, 2021	746	2021
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	742	2022
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	705	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	612	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	593	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	510	2019
Learning gender-neutral word embeddings J Zhao, Y Zhou, Z Li, W Wang, KW Chang EMNLP, 2018	492	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	463	2019
A Transformer-based Approach for Source Code Summarization W Uddin Ahmad, S Chakraborty, B Ray, KW Chang ACL, 2020	431*	2020
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	422	2021
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	367	2008

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