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Abdullah Alwahdi
Alwahdi
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Alwahdi
Alwahdi
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ππ€π New Research Alert - ICCV 2025 (Oral)! ππ€π π Title: Variance-based Pruning for Accelerating and Compressing Trained Networks π π Description: The one-shot pruning method efficiently compresses networks, reducing computation and memory usage while retaining almost full performance and requiring minimal fine-tuning. π₯ Authors: Uranik Berisha, Jens Mehnert, and Alexandru Paul Condurache π Conference: ICCV, 19 β 23 Oct, 2025 | Honolulu, Hawai'i, USA πΊπΈ π Paper: https://huggingface.co/papers/2507.12988 π ICCV-2023-25-Papers: https://github.com/DmitryRyumin/ICCV-2023-25-Papers π Added to the Efficient Learning Section: https://github.com/DmitryRyumin/ICCV-2023-25-Papers/blob/main/sections/2025/main/efficient-learning.md π More Papers: more cutting-edge research presented at other conferences in the https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers curated by @DmitryRyumin π Keywords: #VarianceBasedPruning #NetworkCompression #ModelAcceleration #EfficientDeepLearning #VisionTransformers #AI #ICCV2025 #ResearchHighlight
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