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DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference., , , , , , и . ACM Trans. Design Autom. Electr. Syst., 27 (5): 50:1-50:20 (2022)Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization., , , , , , , и . CoRR, (2024)Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness., , , , , , , , , и . CoRR, (2024)Learning to Optimize: A Primer and A Benchmark., , , , , , и . CoRR, (2021)Design and testing of a production line mechanism for continuous cutting and coring of broccoli., , , , , и . Comput. Electron. Agric., (2021)Learning to Optimize: A Primer and A Benchmark., , , , , , и . J. Mach. Learn. Res., (2022)Can You Win Everything with A Lottery Ticket?, , , , , , и . Trans. Mach. Learn. Res., (2022)Efficient identification of multiple pathways: RNA-Seq analysis of livers from 56Fe ion irradiated mice., , , , , , и . BMC Bioinform., 21 (1): 118 (2020)Network community detection using modularity density measures., , и . CoRR, (2017)Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference., , , и . ICLR, OpenReview.net, (2020)