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Showing 1 to 1 of 1 for “"Dynamic Neural Networks; Vision Models; Efficient Inference"”.
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DYNAMIC NEURAL NETWORKS FOR EFFICIENT VISION MODEL INFERENCE
Recent progress in dynamic neural networks is hindered by high training overhead from full-parameter fine-tuning and limited application beyond visual perception. This thesis addresses these challenges through three key contributions: Parameter-Efficient Fine-Tuning (PEFT): We demonstrate that …