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The rapid development and application of foundation models have revolutionized the field of artificial intelligence.
Generative adversarial networks, 2014
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Fast algorithms for convolutional neural networks
Andrew Lavin · 2015
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U-Net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Gaussian Error Linear Units (GELUs)
Dan Hendrycks and Kevin Gimpel · 2016
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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Efficient hardware architecture of softmax layer in deep neural network
Bo Yuan · 2016
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Wasserstein gan, 2017
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Hardware-aware softmax approximation for deep neural networks
Xue Geng, Jie Lin, Bin Zhao, Anmin Kong, Mohamed M. Sabry Aly, and Vijay Chandrasekhar · 2018
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2018
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Yuxin Wu and Kaiming He · 2018
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Large scale gan training for high fidelity natural image synthesis, 2019
Andrew Brock, Jeff Donahue, and Karen Simonyan · 2019
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Longformer: The long-document transformer
Iz Beltagy, Matthew E. Peters, and Arman Cohan · 2020
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Rethinking attention with performers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, and Adrian Weller · 2020
High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2021
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Flashattention: Fast and memory-efficient exact attention with io-awareness, 2022
Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, and Christopher Ré · 2022
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Auto-encoding variational bayes, 2022
Diederik P Kingma and Max Welling · 2022
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Stable diffusion with core ml on apple silicon, 2022
Atila Orhon, Michael Siracusa, and Aseem Wadhwa · 2022
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Github: Compvis/stable-diffusion, 2022
Robin Rombach · 2022
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World’s first on-device demonstration of stable diffusion on an android phone, 2023
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Reformer: The efficient transformer
Nikita Kitaev, Lukasz Kaiser, and Anselm Levskaya · 2020
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Efficient memory management for deep neural net inference
Yury Pisarchyk and Juhyun Lee · 2020
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A pseudo-softmax function for hardware-based high speed image classification
Gian Carlo Cardarilli, Luca Di Nunzio, Rocco Fazzolari, Daniele Giardino, Alberto Nannarelli, Marco Re, and Sergio Spanò · 2021
Cited alongside, same era.
Jilei Hou and Ziad Asghar · 2023
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Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation, 2023
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman · 2023
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Adding conditional control to text-to-image diffusion models, 2023
Lvmin Zhang and Maneesh Agrawala · 2023
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