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Sparse evolutionary Deep Learning with over one million artificial neurons on commodity hardware., , , , and . CoRR, (2019)Efficient and effective training of sparse recurrent neural networks., , , , and . Neural Comput. Appl., 33 (15): 9625-9636 (2021)Ten Lessons We Have Learned in the New "Sparseland": A Short Handbook for Sparse Neural Network Researchers., and . CoRR, (2023)Radiative Effects and Costing Assessment of Arctic Sea Ice Albedo Changes., , , and . Remote. Sens., 15 (4): 970 (February 2023)Dynamic Sparsity Is Channel-Level Sparsity Learner., , , , , , , , , and . CoRR, (2023)A brain-inspired algorithm for training highly sparse neural networks., , , , , and . Mach. Learn., 111 (12): 4411-4452 (2022)A Modified A Posteriori Subcell Limiter for High Order Flux Reconstruction Scheme for One-Dimensional Detonation Simulation., and . J. Sci. Comput., 97 (2): 31 (November 2023)The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter., , , and . CoRR, (2023)The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need., , , and . CoRR, (2023)Feedback and contribution of vegetation, air temperature and precipitation to land surface temperature in the Yangtze River Basin considering statistical analysis., , , , , , , , and . Int. J. Digit. Earth, 16 (1): 2941-2961 (December 2023)