CESI · Vandoeuvre les nancy, FR · posted 2026-09-21, last confirmed 2026-09-28
Research Work Scientific Context The success of deep neural networks is often constrained by their reliance on large amounts of labeled data, which are both costly and time-consuming to obtain. Prior work has demonstrated that models can be compressed by up to 84% without any loss in performance [4].
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