Dataset Groups Activity Stream Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering This paper investigates whether a VLP can be compressed and debiased simultaneously by searching sparse and robust subnetworks. BibTex: @dataset{Qingyi_Si_and_Yuanxin_Liu_and_Zheng_Lin_and_Peng_Fu_and_Yanan_Cao_and_Weiping_Wang_2024, abstract = {This paper investigates whether a VLP can be compressed and debiased simultaneously by searching sparse and robust subnetworks.}, author = {Qingyi Si and Yuanxin Liu and Zheng Lin and Peng Fu and Yanan Cao and Weiping Wang}, doi = {10.57702/q1hf7hg0}, institution = {No Organization}, keyword = {'Compression', 'Debiasing', 'Vision-Language Pre-Trained Models', 'Visual Question Answering'}, month = {dec}, publisher = {TIB}, title = {Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering}, url = {https://service.tib.eu/ldmservice/dataset/compressing-and-debiasing-vision-language-pre-trained-models-for-visual-question-answering}, year = {2024} }
