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FAT_Quantization
FAT_Quantization PublicPytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation
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sdc17/UPop
sdc17/UPop Public[ICML 2023] UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers.
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sail-sg/scaling-with-vocab
sail-sg/scaling-with-vocab Public[NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
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Autoregressive-Models-in-Vision-Survey
Autoregressive-Models-in-Vision-Survey PublicThe paper collections for the autoregressive models in vision.
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