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Vision-and-language multi-modal pretraining and fine-tuning have shown great success in visual question answering (VQA).
The probabilistic relevance framework: Bm25 and beyond
Stephen E. Robertson and Hugo Zaragoza · 2009
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Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Multi-modal factorized bilinear pooling with co-attention learning for visual question answering
Zhou Yu, Jun Yu, Jianping Fan, and Dacheng Tao · 2017
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Bilinear Attention Networks
Jin-Hwa Kim, Jaehyun Jun, and Byoung-Tak Zhang · 2018
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A dataset of clinically generated visual questions and answers about radiology images
Jason J Lau, Soumya Gayen, Asma Ben Abacha, and Dina Demner-Fushman · 2018
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Radiology objects in context (roco): a multimodal image dataset
Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, and Christoph M Friedrich · 2018
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 2019
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Vqa-med: Overview of the medical visual question answering task at imageclef 2019
Asma Ben Abacha, Sadid A Hasan, Vivek V Datla, Dina Demner-Fushman, and Henning Müller · 2019
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Overcoming data limitation in medical visual question answering
D. Nguyen Binh, Do Thanh-Toan, X. Nguyen Binh, Do Tuong, Tjiputra Erman, and D. Tran Quang · 2019
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Mimic-cxr, a de-identified publicly available database of chest radiographs with free-text reports
Alistair E. W. Johnson, Tom J. Pollard, Seth J. Berkowitz, Nathaniel R. Greenbaum, Matthew P. Lungren, Chih ying Deng, Roger G. Mark, and Steven Horng · 2019
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Billion-scale similarity search with GPUs
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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Latent retrieval for weakly supervised open domain question answering
Kenton Lee, Ming-Wei Chang, and Kristina Toutanova · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Overcoming data limitation in medical visual question answering
Binh D Nguyen, Thanh-Toan Do, Binh X Nguyen, Tuong Do, Erman Tjiputra, and Quang D Tran · 2019
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Randaugment: Practical automated data augmentation with a reduced search space
Ekin Dogus Cubuk, Barret Zoph, Jon Shlens, and Quoc Le · 2020
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Retrieval augmented language model pre-training
Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, and Mingwei Chang · 2020
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Biobert: a pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
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Medical visual question answering via conditional reasoning
Li-Ming Zhan, Bo Liu, Lu Fan, Jiaxin Chen, and Xiao-Ming Wu · 2020
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Improving biomedical pretrained language models with knowledge
Zheng Yuan, Yijia Liu, Chuanqi Tan, Songfang Huang, and Fei Huang · 2021
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Multi-modal masked autoencoders for medical vision-and-language pre-training
Zhihong Chen, Yuhao Du, Jinpeng Hu, Yang Liu, Guanbin Li, Xiang Wan, and Tsung-Hui Chang · 2022
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Align, reason and learn: Enhancing medical vision-and-language pre-training with knowledge
Zhihong Chen, Guanbin Li, and Xiang Wan · 2022
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ViLMedic: a framework for research at the intersection of vision and language in medical AI
Jean-benoit Delbrouck, Khaled Saab, Maya Varma, Sabri Eyuboglu, Pierre Chambon, Jared Dunnmon, Juan Zambrano, Akshay Chaudhari, and Curtis Langlotz · 2022
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Tuong Do, Binh X. Nguyen, Erman Tjiputra, Minh Tran, Quang D. Tran, and Anh Nguyen · 2021
Cited alongside, same era.
Does CLIP benefit visual question answering in the medical domain as much as it does in the general domain?
Sedigheh Eslami, Gerard de Melo, and Christoph Meinel · 2021
Cited alongside, same era.
Cross-modal self-attention with multi-task pre-training for medical visual question answering
Haifan Gong, Guanqi Chen, Sishuo Liu, Yizhou Yu, and Guanbin Li · 2021
Cited alongside, same era.
Sysu-hcp at vqa-med 2021: A data-centric model with efficient training methodology for medical visual question answering
Haifan Gong, Ricong Huang, Guanqi Chen, and Guanbin Li · 2021
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Overview of the imageclef 2021: Multimedia retrieval in medical, nature, internet and social media applications
Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A Hasan, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, et al · 2021
Cited alongside, same era.
Mmbert: multimodal bert pretraining for improved medical vqa
Yash Khare, Viraj Bagal, Minesh Mathew, Adithi Devi, U Deva Priyakumar, and CV Jawahar · 2021
Cited alongside, same era.
Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, and Steven Hoi · 2021
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An empirical study of training end-to-end vision-and-language transformers
Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, and Michael Zeng · 2022
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Domain-specific language model pretraining for biomedical natural language processing
Yuxian Gu, Robert Tinn, Hao Cheng, Michael R. Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, and Hoifung Poon · 2022
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Biomedical question answering: A survey of approaches and challenges
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Huaiyuan Ying, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, and Sheng Yu · 2022
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mplug: Effective and efficient vision-language learning by cross-modal skip-connections
Chenliang Li, Haiyang Xu, Junfeng Tian, Wei Wang, Ming Yan, Bin Bi, Jiabo Ye, Hehong Chen, Guohai Xu, Zheng Cao, et al · 2022
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Retrieval augmented classification for long-tail visual recognition
Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, and Anton van den Hengel · 2022
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Multi-modal understanding and generation for medical images and text via vision-language pre-training
Jong Hak Moon, Hyungyung Lee, Woncheol Shin, Young-Hak Kim, and Edward Choi · 2022
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Retrieval-augmented transformer for image captioning
Sara Sarto, Marcella Cornia, Lorenzo Baraldi, and Rita Cucchiara · 2022
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Image as a foreign language: Beit pretraining for all vision and vision-language tasks
Wenhui Wang, Hangbo Bao, Li Dong, Johan Bjorck, Zhiliang Peng, Qiang Liu, Kriti Aggarwal, Owais Khan Mohammed, Saksham Singhal, Subhojit Som, et al · 2022
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BioBART: Pretraining and evaluation of a biomedical generative language model
Hongyi Yuan, Zheng Yuan, Ruyi Gan, Jiaxing Zhang, Yutao Xie, and Sheng Yu · 2022
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Zhengyun Zhao, Qiao Jin, and Sheng Yu · 2022
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