Computer Applications and Software, Volume. 42, Issue 4, 27(2025)
CURRICULUM LEARNING STRATEGIES BASED ON POWER SERVICE CENTERS AND SIMILAR VENUES
[1] [1] Bengio Y, Louradour J, Collobert R, et al. Curriculum learning[C]//26th Annual International Conference on Machine Learning, 2009: 41-48.
[2] [2] Tsvetkov Y, Faruqui M, Ling W, et al. Learning the curriculum with Bayesian optimization for task-specific word representation learning[C]//54th Annual Meeting of the Association for Computational Linguistics, 2016: 130-139.
[3] [3] Cirik V, Hovy E, Morency L P. Visualizing and understanding curriculum learning for long short-term memory networks[EB]. arXiv: 1611.06204, 2016.
[4] [4] Graves A, Bellemare M G, Menick J, et al. Automated curriculum learning for neural networks[C]//34th International Conference on Machine Learning, 2017: 1311-1320.
[6] [6] Spitkovsky V I, Alshawi H, Jurafsky D. From baby steps to leapfrog: How "less is more" in unsupervised dependency parsing[C]//Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2010: 751-759.
[7] [7] Bengio Y. Practical recommendations for gradient-based training of deep architectures[M]//Neural Networks: Tricks of the Trade. Heidelberg: Springer, 2012: 437-478.
[8] [8] Amiri H, Miller T, Savova G. Repeat before forgetting: Spaced repetition for efficient and effective training of neural networks[C]//Conference on Empirical Methods in Natural Language Processing, 2017: 2401-2410.
[9] [9] Collobert R, Weston J. A unified architecture for natural language processing: Deep neural networks with multitask learning[C]//25th International Conference on Machine Learning, 2008: 160-167.
[10] [10] Kiperwasser E, Ballesteros M. Scheduled multi-task learning: From syntax to translation[J]. Transactions of the Association for Computational Linguistics, 2018, 6: 225-240.
[11] [11] Weinshall D, Cohen G, Amir D. Curriculum learning by transfer learning: Theory and experiments with deep networks[C]//35th International Conference on Machine Learning, 2018: 5238-5246.
[12] [12] Matiisen T, Oliver A, Cohen T, et al. Teacher-student curriculum learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020, 31(9): 3732-3740.
[13] [13] Portelas R, Colas C, Hofmann K, et al. Teacher algorithms for curriculum learning of deep RL in continuously parameterized environments[EB]. arXiv: 1910.07224, 2020.
[14] [14] Fan Y, Tian F, Qin T, et al. Learning to teach[EB]. arX-iv: 1805.03643, 2018.
[15] [15] Jiang L, Meng D Y, Zhao Q, et al. Self-paced curriculum learning[C]//AAAI Conference on Artificial Intelligence, 2015: 1203-1211.
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Li Chenguang, Zhang Bo, Zhao Qian, Chen Xiaoping. CURRICULUM LEARNING STRATEGIES BASED ON POWER SERVICE CENTERS AND SIMILAR VENUES[J]. Computer Applications and Software, 2025, 42(4): 27
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Received: Sep. 12, 2021
Accepted: Aug. 25, 2025
Published Online: Aug. 25, 2025
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