TinySubNets offers efficient continual learning for machines.
Marcin Pietroń, Kamil Faber, Dominik Żurek
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Latest Articles for Pruning
Innovative pruning techniques make AI models more efficient and effective.
Xuan Shen, Zhao Song, Yufa Zhou
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New methods make language models faster and more efficient for real-world tasks.
Jonathan Svirsky, Yehonathan Refael, Ofir Lindenbaum
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Discover how pruning enhances Transformer models for effective time series forecasting.
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Researchers reveal effective strategies for training Large Vision-Language Models.
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A new approach helps AI models provide accurate answers using knowledge graphs.
Mufan Xu, Kehai Chen, Xuefeng Bai
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A new method improves image classification while reducing model size.
Guangwenjie Zou, Liang Yao, Fan Liu
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Researchers aim to optimize language models to enhance efficiency and reduce costs.
Giordano d'Aloisio, Luca Traini, Federica Sarro
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Researchers refine large language models for better efficiency and task focus.
Jorge García-Carrasco, Alejandro Maté, Juan Trujillo
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