Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

T. Wang, J. Zhao, M. Yatskar, K. Chang, and V. Ordonez. ICCV, page 5309-5318. IEEE, (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Tianlu Sheng

Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylationL. Wang. Uni Marburg, (2009)

Hao Wang

Shifeng Wang

Other publications of authors with the same name

OPT: Open Pre-trained Transformer Language ModelsS. Zhang, S. Roller, N. Goyal, M. Artetxe, M. Chen, S. Chen, C. Dewan, M. Diab, X. Li, X. Lin and 9 other author(s). CoRR, (2022)Name Tagging for Low-resource Incident Languages based on Expectation-driven Learning.B. Zhang, X. Pan, T. Wang, A. Vaswani, H. Ji, K. Knight, and D. Marcu. HLT-NAACL, page 249-259. The Association for Computational Linguistics, (2016)Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models.T. Wang, R. Sridhar, D. Yang, and X. Wang. NAACL-HLT (Findings), page 1719-1729. Association for Computational Linguistics, (2022)Visual News: Benchmark and Challenges in News Image Captioning.F. Liu, Y. Wang, T. Wang, and V. Ordonez. EMNLP (1), page 6761-6771. Association for Computational Linguistics, (2021)Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.J. Zhao, T. Wang, M. Yatskar, V. Ordonez, and K. Chang. EMNLP, page 2979-2989. Association for Computational Linguistics, (2017)TC-CycleGAN: Improved CycleGAN with Texture Constraints for Virtual Staining of Pathological Images.S. Huang, H. Wang, Y. Hao, S. Guo, Y. Wang, and T. Wang. BIC, page 147-152. ACM, (2023)Understanding In-Context Learning via Supportive Pretraining Data.X. Han, D. Simig, T. Mihaylov, Y. Tsvetkov, A. Celikyilmaz, and T. Wang. ACL (1), page 12660-12673. Association for Computational Linguistics, (2023)Adversarial Removal of Gender from Deep Image Representations.T. Wang, J. Zhao, M. Yatskar, K. Chang, and V. Ordonez. CoRR, (2018)General Multi-label Image Classification with Transformers.J. Lanchantin, T. Wang, V. Ordonez, and Y. Qi. CoRR, (2020)Characterization of Cellular Mechanical Properties Upon Drug Action Using a Dynamical System Model.S. Ma, C. Liu, Z. Liu, X. Zhang, Y. Wang, L. Liu, T. Wang, and W. Wang. ROBIO, page 229-234. IEEE, (2022)

BibSonomy

Disambiguation of "Wang, Tianlu"

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

Please choose a person to relate this publication to

Tianlu Sheng

Wang Wang

Linfang Wang

Hao Wang

Shifeng Wang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wang, Tianlu"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.

Please choose a person to relate this publication to

Tianlu Sheng

Wang Wang

Linfang Wang

Hao Wang

Shifeng Wang

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.