"activation sparsity" Papers

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Activity Pruning for Efficient Spiking Neural Networks

Tong Bu, Xinyu Shi, Zhaofei Yu

NEURIPS 2025

BlockFFN: Towards End-Side Acceleration-Friendly Mixture-of-Experts with Chunk-Level Activation Sparsity

Chenyang Song, Weilin Zhao, Xu Han et al.

COLM 2025paperarXiv:2507.08771
1
citations

DuoGPT: Training-free Dual Sparsity through Activation-aware Pruning in LLMs

Ruokai Yin, Yuhang Li, Donghyun Lee et al.

NEURIPS 2025arXiv:2506.20194
2
citations

From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers

Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen

AAAI 2025paperarXiv:2402.01911
8
citations

Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention

Chong You, Kan Wu, Zhipeng Jia et al.

NEURIPS 2025
2
citations

SURGEON: Memory-Adaptive Fully Test-Time Adaptation via Dynamic Activation Sparsity

Ke Ma, Jiaqi Tang, Bin Guo et al.

CVPR 2025highlightarXiv:2503.20354
4
citations

Training-Free Activation Sparsity in Large Language Models

James Liu, Pragaash Ponnusamy, Tianle Cai et al.

ICLR 2025arXiv:2408.14690
39
citations

Exploring the Benefit of Activation Sparsity in Pre-training

Zhengyan Zhang, Chaojun Xiao, Qiujieli Qin et al.

ICML 2024arXiv:2410.03440
6
citations