Summary of Edge Unlearning Is Not “on Edge”! An Adaptive Exact Unlearning System on Resource-constrained Devices, by Xiaoyu Xia et al.
Edge Unlearning is Not “on Edge”! An Adaptive Exact Unlearning System on Resource-Constrained Devicesby Xiaoyu…
Summary of Self-data Distillation For Recovering Quality in Pruned Large Language Models, by Vithursan Thangarasa et al.
Self-Data Distillation for Recovering Quality in Pruned Large Language Modelsby Vithursan Thangarasa, Ganesh Venkatesh, Mike…
Summary of Generalized Group Data Attribution, by Dan Ley et al.
Generalized Group Data Attributionby Dan Ley, Suraj Srinivas, Shichang Zhang, Gili Rusak, Himabindu LakkarajuFirst submitted…
Summary of Slim: One-shot Quantization and Sparsity with Low-rank Approximation For Llm Weight Compression, by Mohammad Mozaffari et al.
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compressionby Mohammad Mozaffari, Amir…
Summary of Exploring Space Efficiency in a Tree-based Linear Model For Extreme Multi-label Classification, by He-zhe Lin and Cheng-hung Liu and Chih-jen Lin
Exploring space efficiency in a tree-based linear model for extreme multi-label classificationby He-Zhe Lin, Cheng-Hung…
Summary of Dare the Extreme: Revisiting Delta-parameter Pruning For Fine-tuned Models, by Wenlong Deng et al.
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Modelsby Wenlong Deng, Yize Zhao, Vala Vakilian,…
Summary of Maximizing the Potential Of Synthetic Data: Insights From Random Matrix Theory, by Aymane El Firdoussi et al.
Maximizing the Potential of Synthetic Data: Insights from Random Matrix Theoryby Aymane El Firdoussi, Mohamed…
Summary of Neuroplastic Expansion in Deep Reinforcement Learning, by Jiashun Liu and Johan Obando-ceron and Aaron Courville and Ling Pan
Neuroplastic Expansion in Deep Reinforcement Learningby Jiashun Liu, Johan Obando-Ceron, Aaron Courville, Ling PanFirst submitted…
Summary of Non-transferable Pruning, by Ruyi Ding et al.
Non-transferable Pruningby Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi FeiFirst submitted to arxiv on:…
Summary of Convex Distillation: Efficient Compression Of Deep Networks Via Convex Optimization, by Prateek Varshney and Mert Pilanci
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimizationby Prateek Varshney, Mert PilanciFirst submitted…