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Skip-Clip: Self-Supervised Spatiotemporal Representation Learning by Future Clip Order Ranking., , , and . CoRR, (2019)Training Vision Transformers for Image Retrieval., , , and . CoRR, (2021)XCiT: Cross-Covariance Image Transformers., , , , , , , , , and 1 other author(s). CoRR, (2021)Variable Rate Allocation for Vector-Quantized Autoencoders., , and . ICASSP, page 1-5. IEEE, (2023)Keep Drawing It: Iterative language-based image generation and editing., , , , , , , and . CoRR, (2018)ResMLP: Feedforward networks for image classification with data-efficient training., , , , , , , , , and . CoRR, (2021)Are Visual Recognition Models Robust to Image Compression?, , , and . CoRR, (2023)Are Large-scale Datasets Necessary for Self-Supervised Pre-training?, , , , , and . CoRR, (2021)Image Compression with Product Quantized Masked Image Modeling., , , , , and . Trans. Mach. Learn. Res., (2023)LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference., , , , , , and . ICCV, page 12239-12249. IEEE, (2021)