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Online misinformation is a prevalent societal issue, with adversaries relying on tools ranging from cheap fakes to sophisticated deep fakes.
Visualbert: A simple and performant baseline for vision and language
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, and Kai-Wei Chang. 2019 · 1908
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Quantifying the carbon emissions of machine learning
Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres. 2019 · 1910
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Visualnews: A large multi-source news image dataset
Fuxiao Liu, Yinghan Wang, Tianlu Wang, and Vicente Ordonez. 2020 · 2010
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun. 2015 · 2015
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spacy 2: Natural language understanding with bloom embeddings, convolutional neural networks and incremental parsing
Matthew Honnibal and Ines Montani. 2017 · 2017
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Multimedia semantic integrity assessment using joint embedding of images and text
Ayush Jaiswal, Ekraam Sabir, Wael AbdAlmageed, and Premkumar Natarajan. 2017 · 2017
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Places: A 10 million image database for scene recognition
Bolei Zhou, Agata Lapedriza, Aditya Khosla, Aude Oliva, and Antonio Torralba. 2017 · 2017
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Deep multimodal image-repurposing detection
Ekraam Sabir, Wael AbdAlmageed, Yue Wu, and Prem Natarajan. 2018 · 2018
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Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning
Piyush Sharma, Nan Ding, Sebastian Goodman, and Radu Soricut. 2018 · 2018
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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 · 2019
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Nonprobative photos increase truth, like, and share judgments in a simulated social media environment
Elise Fenn, Nicholas Ramsay, Justin Kantner, Kathy Pezdek, and Erica Abed. 2019 · 2019
Cited alongside, same era.
Measuring bias in contextualized word representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W Black, and Yulia Tsvetkov. 2019 · 2019
Cited alongside, same era.
r/fakeddit: A new multimodal benchmark dataset for fine-grained fake news detection
Kai Nakamura, Sharon Levy, and William Yang Wang. 2019 · 2019
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Defending against neural fake news
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Language models are few-shot learners
Fakenewsnet: A data repository with news content, social context, and spatiotemporal information for studying fake news on social media
Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, and Huan Liu. 2020 · 2020
Later among the works it cites.
Detecting cross-modal inconsistency to defend against neural fake news
Reuben Tan, Kate Saenko, and Bryan A Plummer. 2020 · 2020
Later among the works it cites.
Preserving semantic neighborhoods for robust cross-modal retrieval
Christopher Thomas and Adriana Kovashka. 2020 · 2020
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Rel: An entity linker standing on the shoulders of giants
Johannes M. van Hulst, Faegheh Hasibi, Koen Dercksen, Krisztian Balog, and Arjen P. de Vries. 2020 · 2020
Later among the works it cites.
Sbert-wk: A sentence embedding method by dissecting bert-based word models
Bin Wang and C-C Jay Kuo. 2020 · 2020
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Tom B Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 2020
Cited alongside, same era.
Out-of-context photos are a powerful low-tech form of misinformation
Lisa Fazio. 2020 · 2020
Cited alongside, same era.
A college kid’s fake, ai-generated blog fooled tens of thousands. this is how he made it
Karen Hao. 2020 · 2020
Cited alongside, same era.
Multimodal analytics for real-world news using measures of cross-modal entity consistency
Eric Müller-Budack, Jonas Theiner, Sebastian Diering, Maximilian Idahl, and Ralph Ewerth. 2020 · 2020
Cited alongside, same era.
Shivangi Aneja, Christoph Bregler, and Matthias Nießner. 2021 · 2021
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Generic attention-model explainability for interpreting bi-modal and encoder-decoder transformers
Hila Chefer, Shir Gur, and Lior Wolf. 2021 · 2021
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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 · 2021
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Your loved ones, and eerie tom cruise videos, reanimate unease with deepfakes
Daniel Victor. 2021 · 2021
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