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(Dynamic) Prompting might be all you need to repair Compressed LLMs., , , , and . CoRR, (2023)Separable Self-attention for Mobile Vision Transformers., and . CoRR, (2022)Bytes Are All You Need: Transformers Operating Directly On File Bytes., , , and . CoRR, (2023)Token Pooling in Vision Transformers., , , , , and . CoRR, (2021)Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement., , , , , , and . ICCV, page 16986-16997. IEEE, (2023)ELASTIC: Improving CNNs With Dynamic Scaling Policies., , , , and . CVPR, page 2258-2267. Computer Vision Foundation / IEEE, (2019)SPIN: An Empirical Evaluation on Sharing Parameters of Isotropic Networks., , , , , , and . ECCV (11), volume 13671 of Lecture Notes in Computer Science, page 553-568. Springer, (2022)Scalable object-class retrieval with approximate and top-k ranking., , and . ICCV, page 2659-2666. IEEE Computer Society, (2011)Layer-Wise Data-Free CNN Compression., , , and . CoRR, (2020)Diffusion Models as Masked Audio-Video Learners., , , , and . CoRR, (2023)