Summary of Adaptive Pruning For Large Language Models with Structural Importance Awareness, by Haotian Zheng et al.
Adaptive Pruning for Large Language Models with Structural Importance Awarenessby Haotian Zheng, Jinke Ren, Yushan…
Summary of Holistic Adversarially Robust Pruning, by Qi Zhao and Christian Wressnegger
Holistic Adversarially Robust Pruningby Qi Zhao, Christian WressneggerFirst submitted to arxiv on: 19 Dec 2024CategoriesMain:…
Summary of A Comparative Study Of Pruning Methods in Transformer-based Time Series Forecasting, by Nicholas Kiefer et al.
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecastingby Nicholas Kiefer, Arvid Weyrauch,…
Summary of Numerical Pruning For Efficient Autoregressive Models, by Xuan Shen et al.
Numerical Pruning for Efficient Autoregressive Modelsby Xuan Shen, Zhao Song, Yufa Zhou, Bo Chen, Jing…
Summary of Krony-pt: Gpt2 Compressed with Kronecker Products, by M. Ayoub Ben Ayad et al.
Krony-PT: GPT2 compressed with Kronecker Productsby M. Ayoub Ben Ayad, Jelena Mitrovic, Michael GranitzerFirst submitted…
Summary of Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag Data, by Mulugeta Weldezgina Asres et al.
Scalable Temporal Anomaly Causality Discovery in Large Systems: Achieving Computational Efficiency with Binary Anomaly Flag…
Summary of Qpruner: Probabilistic Decision Quantization For Structured Pruning in Large Language Models, by Changhai Zhou and Yuhua Zhou and Shijie Han and Qian Qiao and Hongguang Li
QPruner: Probabilistic Decision Quantization for Structured Pruning in Large Language Modelsby Changhai Zhou, Yuhua Zhou,…
Summary of Fast Track to Winning Tickets: Repowering One-shot Pruning For Graph Neural Networks, by Yanwei Yue et al.
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networksby Yanwei Yue, Guibin…
Summary of Score-matching-based Structure Learning For Temporal Data on Networks, by Hao Chen et al.
Score-matching-based Structure Learning for Temporal Data on Networksby Hao Chen, Kai Yi, Lin Liu, Yu…
Summary of Post-training Statistical Calibration For Higher Activation Sparsity, by Vui Seng Chua et al.
Post-Training Statistical Calibration for Higher Activation Sparsityby Vui Seng Chua, Yujie Pan, Nilesh JainFirst submitted…