Summary of Bmrs: Bayesian Model Reduction For Structured Pruning, by Dustin Wright et al.
BMRS: Bayesian Model Reduction for Structured Pruningby Dustin Wright, Christian Igel, Raghavendra SelvanFirst submitted to…
Summary of Effective Subset Selection Through the Lens Of Neural Network Pruning, by Noga Bar and Raja Giryes
Effective Subset Selection Through The Lens of Neural Network Pruningby Noga Bar, Raja GiryesFirst submitted…
Summary of Spafl: Communication-efficient Federated Learning with Sparse Models and Low Computational Overhead, by Minsu Kim et al.
SpaFL: Communication-Efficient Federated Learning with Sparse Models and Low computational Overheadby Minsu Kim, Walid Saad,…
Summary of Dual-perspective Cross Contrastive Learning in Graph Transformers, by Zelin Yao et al.
Dual-perspective Cross Contrastive Learning in Graph Transformersby Zelin Yao, Chuang Liu, Xueqi Ma, Mukun Chen,…
Summary of Large Language Model Pruning, by Hanjuan Huang (1)(2) et al.
Large Language Model Pruningby Hanjuan Huang, Hao-Jia Song, Hsing-Kuo PaoFirst submitted to arxiv on: 24…
Summary of Stat: Shrinking Transformers After Training, by Megan Flynn et al.
STAT: Shrinking Transformers After Trainingby Megan Flynn, Alexander Wang, Dean Edward Alvarez, Christopher De Sa,…
Summary of Sparse-proxskip: Accelerated Sparse-to-sparse Training in Federated Learning, by Georg Meinhardt et al.
Sparse-ProxSkip: Accelerated Sparse-to-Sparse Training in Federated Learningby Georg Meinhardt, Kai Yi, Laurent Condat, Peter RichtárikFirst…
Summary of Perplexed by Perplexity: Perplexity-based Data Pruning with Small Reference Models, By Zachary Ankner et al.
Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Modelsby Zachary Ankner, Cody Blakeney, Kartik…
Summary of Conceptprune: Concept Editing in Diffusion Models Via Skilled Neuron Pruning, by Ruchika Chavhan and Da Li and Timothy Hospedales
ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruningby Ruchika Chavhan, Da Li, Timothy…
Summary of Finercut: Finer-grained Interpretable Layer Pruning For Large Language Models, by Yang Zhang et al.
FinerCut: Finer-grained Interpretable Layer Pruning for Large Language Modelsby Yang Zhang, Yawei Li, Xinpeng Wang,…