Summary of Contextcite: Attributing Model Generation to Context, by Benjamin Cohen-wang et al.
ContextCite: Attributing Model Generation to Contextby Benjamin Cohen-Wang, Harshay Shah, Kristian Georgiev, Aleksander MadryFirst submitted…
Summary of Modularity in Transformers: Investigating Neuron Separability & Specialization, by Nicholas Pochinkov et al.
Modularity in Transformers: Investigating Neuron Separability & Specializationby Nicholas Pochinkov, Thomas Jones, Mohammed Rashidur RahmanFirst…
Summary of The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-order Information, By Diyuan Wu et al.
The Iterative Optimal Brain Surgeon: Faster Sparse Recovery by Leveraging Second-Order Informationby Diyuan Wu, Ionut-Vlad…
Summary of Analyzing Inference Privacy Risks Through Gradients in Machine Learning, by Zhuohang Li et al.
Analyzing Inference Privacy Risks Through Gradients in Machine Learningby Zhuohang Li, Andrew Lowy, Jing Liu,…
Summary of Free Lunch in the Forest: Functionally-identical Pruning Of Boosted Tree Ensembles, by Youssouf Emine et al.
Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensemblesby Youssouf Emine, Alexandre Forel,…
Summary of Emp: Enhance Memory in Data Pruning, by Jinying Xiao and Ping Li and Jie Nie and Zhe Tang
EMP: Enhance Memory in Data Pruningby Jinying Xiao, Ping Li, Jie Nie, Zhe TangFirst submitted…
Summary of Kgprune: a Web Application to Extract Subgraphs Of Interest From Wikidata with Analogical Pruning, by Pierre Monnin et al.
KGPrune: a Web Application to Extract Subgraphs of Interest from Wikidata with Analogical Pruningby Pierre…
Summary of Pat: Pruning-aware Tuning For Large Language Models, by Yijiang Liu et al.
PAT: Pruning-Aware Tuning for Large Language Modelsby Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang,…
Summary of Learning Effective Pruning at Initialization From Iterative Pruning, by Shengkai Liu et al.
Learning effective pruning at initialization from iterative pruningby Shengkai Liu, Yaofeng Cheng, Fusheng Zha, Wei…
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…