CPS-Prompt delivers 1.6x gains in peak memory, training time, and energy on edge hardware for continual learning while staying within 2% accuracy of top prompt-based baselines.
Mest: Accurate and fast memory-economic sparse training framework on the edge.Advances in Neural Information Processing Systems, 34:20838–20850, 2021
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Critical Patch-Aware Sparse Prompting with Decoupled Training for Continual Learning on the Edge
CPS-Prompt delivers 1.6x gains in peak memory, training time, and energy on edge hardware for continual learning while staying within 2% accuracy of top prompt-based baselines.