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Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
International Conference on Computational Linguistics (COLING), 2024
Binh Nguyen Nguyen, Yang He
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Swift Cross-Dataset Pruning: Enhancing Fine-Tuning Efficiency in Natural Language Understanding
Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Advances in Neural Information Processing Systems (NeurIPS), 2024
Lingao Xiao, Yang He
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Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation?
Data-independent Module-aware Pruning for Hierarchical Vision Transformers
International Conference on Learning Representations (ICLR), 2024
Yang He, Tianyi Joey Zhou
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Data-independent Module-aware Pruning for Hierarchical Vision Transformers
Multisize Dataset Condensation
International Conference on Learning Representations (ICLR) Oral, 2024
Yang He, Lingao Xiao, Tianyi Joey Zhou, Ivor Tsang
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Multisize Dataset Condensation
You Only Condense Once: Two Rules for Pruning Condensed Datasets
Advances in Neural Information Processing Systems (NeurIPS), 2023
Yang He, Lingao Xiao, Tianyi Joey Zhou
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You Only Condense Once: Two Rules for Pruning Condensed Datasets
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Yang He, Yuhang Ding, Ping Liu, Linchao Zhu, Hanwang Zhang, Yi Yang
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Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration