🔗 Who cites «Learning Structured Sparsity in Deep Neural Networks»

128 papers of our library cite it (of the 149,439 whose bibliographies we read) · 8 with a page here, the most cited first · ← back to «Learning Structured Sparsity in Deep Neural Networks»

1. Reducing Transformer Depth on Demand with Structured DropoutarXiv:1909.11556Angela Fan, Edouard Grave, Armand Joulin2019 · 560 citations
2. A Survey on Model Compression for Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Xunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
3. Efficient Processing of Deep Neural Networks: A Tutorial and SurveyProceedings of the IEEE 2017Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, et al.2017 · 146 citations
4. Measuring the Intrinsic Dimension of Objective LandscapesarXiv:1804.08838Chunyuan Li, Heerad Farkhoor, Rosanne Liu, et al.2018 · 143 citations
5. Accelerating Sparse Deep Neural NetworksarXiv 2021 (NVIDIA)Asit Mishra, Jorge Albericio Latorre, Jeff Pool, et al.2021 · 97 citations
6. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel GenerationarXiv:2307.15337Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.2023 · 72 citations
7. The Unreasonable Ineffectiveness of the Deeper LayersarXiv:2403.17887Andrey Gromov, Kushal Tirumala, Hassan Shapourian, et al.2024 · 71 citations
8. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations

120 more papers of our library cite it; they have no page here yet.

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