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Neurogenesis Dynamics-inspired Spiking Neural Network Training Acceleration., , , , , , , , , and . DAC, page 1-6. IEEE, (2023)Rethinking Data Distillation: Do Not Overlook Calibration., , , , , , and . ICCV, page 4912-4922. IEEE, (2023)What are public preferences for air quality improvement policies? Additional information from extended choice models., , , , and . J. Comput. Methods Sci. Eng., 23 (6): 2893-2914 (2023)ReWOO: Decoupling Reasoning from Observations for Efficient Augmented Language Models., , , , , and . CoRR, (2023)Balance is Essence: Accelerating Sparse Training via Adaptive Gradient Correction., , , , and . CoRR, (2023)Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation., , , , and . AISTATS, volume 206 of Proceedings of Machine Learning Research, page 7288-7310. PMLR, (2023)Accelerating Dataset Distillation via Model Augmentation., , , , , , , , and . CVPR, page 11950-11959. IEEE, (2023)Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off., , , , , , and . CoRR, (2022)Calibrating the Rigged Lottery: Making All Tickets Reliable., , , and . ICLR, OpenReview.net, (2023)Dynamic Sparse Training via Balancing the Exploration-Exploitation Trade-off., , , , , , and . DAC, page 1-6. IEEE, (2023)