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Training data-efficient image transformers & distillation through attention, , , , , and . Proceedings of the 38th International Conference on Machine Learning, volume 139 of Proceedings of Machine Learning Research, page 10347--10357. PMLR, (18--24 Jul 2021)Training data-efficient image transformers & distillation through attention., , , , , and . CoRR, (2020)Emerging Properties in Self-Supervised Vision Transformers., , , , , , and . ICCV, page 9630-9640. IEEE, (2021)ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 2286-2296. PMLR, (2021)Code Llama: Open Foundation Models for Code., , , , , , , , , and 15 other author(s). CoRR, (2023)ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training., , , , , , , , , and 1 other author(s). IEEE Trans. Pattern Anal. Mach. Intell., 45 (4): 5314-5321 (April 2023)Grafit: Learning fine-grained image representations with coarse labels., , , , and . ICCV, page 854-864. IEEE, (2021)Three Things Everyone Should Know About Vision Transformers., , , , and . ECCV (24), volume 13684 of Lecture Notes in Computer Science, page 497-515. Springer, (2022)ResMLP: Feedforward networks for image classification with data-efficient training., , , , , , , , , and . CoRR, (2021)Llama 2: Open Foundation and Fine-Tuned Chat Models., , , , , , , , , and 58 other author(s). CoRR, (2023)