SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection von Ataiefard, Foozhan, Ahmed, Walid, Hajimolahoseini, Habib, Asani, Saina, Javadi, Farnoosh, Hassanpour, Mohammad, Awad, Omar Mohamed, Wen, Austin, Liu, Kangling, Liu, Yang

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SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling von Hajimolahoseini, Habib, Awad, Omar Mohamed, Ahmed, Walid, Wen, Austin, Asani, Saina, Hassanpour, Mohammad, Javadi, Farnoosh, Ahmadi, Mehdi, Ataiefard, Foozhan, Liu, Kangling, Liu, Yang

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GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values von Javadi, Farnoosh, Ahmed, Walid, Hajimolahoseini, Habib, Ataiefard, Foozhan, Hassanpour, Mohammad, Asani, Saina, Wen, Austin, Awad, Omar Mohamed, Liu, Kangling, Liu, Yang

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SkipViT: Speeding Up Vision Transformers with a Token-Level Skip Connection von Ataiefard, Foozhan, Ahmed, Walid, Habib Hajimolahoseini, Asani, Saina, Javadi, Farnoosh, Hassanpour, Mohammad, Omar Mohamed Awad, Austin, Wen, Liu, Kangling, Liu, Yang

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GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values von Javadi, Farnoosh, Ahmed, Walid, Habib Hajimolahoseini, Ataiefard, Foozhan, Hassanpour, Mohammad, Asani, Saina, Austin, Wen, Omar Mohamed Awad, Liu, Kangling, Liu, Yang

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SwiftLearn: A Data-Efficient Training Method of Deep Learning Models using Importance Sampling von Habib Hajimolahoseini, Omar Mohamed Awad, Ahmed, Walid, Austin, Wen, Asani, Saina, Hassanpour, Mohammad, Javadi, Farnoosh, Ahmadi, Mehdi, Ataiefard, Foozhan, Liu, Kangling, Liu, Yang

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