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Extremely large image generators offer significant transformative potential across diverse sectors.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2004
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Introduction to derivative-free optimization
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The probabilistic relevance framework: Bm25 and beyond
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Derivative-free optimization: a review of algorithms and comparison of software implementations
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Black-box adversarial attacks with limited queries and information
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Square attack: a query-efficient black-box adversarial attack via random search
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Detoxify
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Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever. 2021 · 2021
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Laion-400m: Open dataset of clip-filtered 400 million image-text pairs
Christoph Schuhmann, Richard Vencu, Romain Beaumont, Robert Kaczmarczyk, Clayton Mullis, Aarush Katta, Theo Coombes, Jenia Jitsev, and Aran Komatsuzaki. 2021 · 2021
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Score-based generative modeling through stochastic differential equations
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Zero-shot knowledge distillation from a decision-based black-box model
Zi Wang. 2021 · 2021
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Solving inverse problems in medical imaging with score-based generative models
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Black-box tuning for language-model-as-a-service
Tianxiang Sun, Yunfan Shao, Hong Qian, Xuanjing Huang, and Xipeng Qiu. 2022 · 2022
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Black-box prompt learning for pre-trained language models
Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, LIN Yong, Xiao Zhou, and Tong Zhang. 2023 · 2023
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Dall-e-bot: Introducing web-scale diffusion models to robotics
Ivan Kapelyukh, Vitalis Vosylius, and Edward Johns. 2023 · 2023
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Towards safe self-distillation of internet-scale text-to-image diffusion models
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Jason Wei, Maarten Bosma, Vincent Y Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
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Black-box few-shot knowledge distillation
Dang Nguyen, Sunil Gupta, Kien Do, and Svetha Venkatesh. 2022 · 2022
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High-resolution image synthesis with latent diffusion models
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Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al. 2022 · 2022
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Laion-5b: An open large-scale dataset for training next generation image-text models
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Unsafe diffusion: On the generation of unsafe images and hateful memes from text-to-image models
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Beyond the ml model: Applying safety engineering frameworks to text-to-image development
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Safe latent diffusion: Mitigating inappropriate degeneration in diffusion models
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Evil geniuses: Delving into the safety of llm-based agents
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Judging llm-as-a-judge with mt-bench and chatbot arena
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