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@Qrange-group

Qrange-group

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  1. SUR-adapter SUR-adapter Public

    ACM MM'23 (oral), SUR-adapter for pre-trained diffusion models can acquire the powerful semantic understanding and reasoning capabilities from large language models to build a high-quality textual …

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  2. Mirror-Gradient Mirror-Gradient Public

    WWW'24, Mirror Gradient (MG) makes multimodal recommendation models approach flat local minima easier compared to models with normal training.

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  3. CEM CEM Public

    EMNLP'22, CEM improves MHCH performance by correcting prediction bias and training an auxiliary cost simulator based on user state and labor cost causal graph, without requiring complex model craft…

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  4. SEM SEM Public

    SEM can automatically decide to select and integrate attention operators to compute attention maps.

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  5. LSAS LSAS Public

    ICME'23, Lightweight sub-attention strategy (LSAS) utilizes high-order sub-attention modules to improve the original self-attention modules.

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  6. SPEM SPEM Public

    MMM'23, SPEM adopts a self-adaptive pooling strategy based on global max-pooling, global min-pooling and a lightweight module for producing the attention map.

    Python 2

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