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DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation., , , , , и . CoRR, (2023)On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models., , , , , , , , , и . CoRR, (2024)Toward Efficient Traffic Signal Control: Smaller Network Can Do More., , , , и . CDC, стр. 8069-8074. IEEE, (2023)A Survey for Efficient Open Domain Question Answering., , , , , , и . ACL (1), стр. 14447-14465. Association for Computational Linguistics, (2023)Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World., , , и . CoRR, (2024)Towards Personalized Federated Learning via Heterogeneous Model Reassembly., , , , , , и . NeurIPS, (2023)Sparse Progressive Distillation: Resolving Overfitting under Pretrain-and-Finetune Paradigm., , , , , , , , и . CoRR, (2021)A Survey for Efficient Open Domain Question Answering., , , , , , и . CoRR, (2022)You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model., , , , , , , , и . CoRR, (2022)How Do We Move: Modeling Human Movement with System Dynamics., , , и . AAAI, стр. 4445-4452. AAAI Press, (2021)