Summary of Efficient Pruning Of Text-to-image Models: Insights From Pruning Stable Diffusion, by Samarth N Ramesh et al.
Efficient Pruning of Text-to-Image Models: Insights from Pruning Stable Diffusionby Samarth N Ramesh, Zhixue ZhaoFirst…
Summary of Bridging the Resource Gap: Deploying Advanced Imitation Learning Models Onto Affordable Embedded Platforms, by Haizhou Ge et al.
Bridging the Resource Gap: Deploying Advanced Imitation Learning Models onto Affordable Embedded Platformsby Haizhou Ge,…
Summary of Change Is the Only Constant: Dynamic Llm Slicing Based on Layer Redundancy, by Razvan-gabriel Dumitru et al.
Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancyby Razvan-Gabriel Dumitru, Paul-Ioan…
Summary of Efficient Model Compression For Bayesian Neural Networks, by Diptarka Saha et al.
Efficient Model Compression for Bayesian Neural Networksby Diptarka Saha, Zihe Liu, Feng LiangFirst submitted to…
Summary of Beware Of Calibration Data For Pruning Large Language Models, by Yixin Ji et al.
Beware of Calibration Data for Pruning Large Language Modelsby Yixin Ji, Yang Xiang, Juntao Li,…
Summary of Continuous Approximations For Improving Quantization Aware Training Of Llms, by He Li et al.
Continuous Approximations for Improving Quantization Aware Training of LLMsby He Li, Jianhang Hong, Yuanzhuo Wu,…
Summary of Geometry Is All You Need: a Unified Taxonomy Of Matrix and Tensor Factorization For Compression Of Generative Language Models, by Mingxue Xu et al.
Geometry is All You Need: A Unified Taxonomy of Matrix and Tensor Factorization for Compression…
Summary of Loca: Logit Calibration For Knowledge Distillation, by Runming Yang et al.
LoCa: Logit Calibration for Knowledge Distillationby Runming Yang, Taiqiang Wu, Yujiu YangFirst submitted to arxiv…
Summary of Hyper-compression: Model Compression Via Hyperfunction, by Fenglei Fan et al.
Hyper-Compression: Model Compression via Hyperfunctionby Fenglei Fan, Juntong Fan, Dayang Wang, Jingbo Zhang, Zelin Dong,…
Summary of Variational Autoencoder-based Neural Network Model Compression, by Liang Cheng et al.
Variational autoencoder-based neural network model compressionby Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng…