Summary of Puma: Margin-based Data Pruning, by Javier Maroto and Pascal Frossard
PUMA: margin-based data pruningby Javier Maroto, Pascal FrossardFirst submitted to arxiv on: 10 May 2024CategoriesMain:…
Summary of From Algorithm to Hardware: a Survey on Efficient and Safe Deployment Of Deep Neural Networks, by Xue Geng et al.
From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networksby…
Summary of Mirage: a Multi-level Superoptimizer For Tensor Programs, by Mengdi Wu and Xinhao Cheng and Shengyu Liu and Chunan Shi and Jianan Ji and Kit Ao and Praveen Velliengiri and Xupeng Miao and Oded Padon and Zhihao Jia
Mirage: A Multi-Level Superoptimizer for Tensor Programsby Mengdi Wu, Xinhao Cheng, Shengyu Liu, Chunan Shi,…
Summary of Attention-driven Training-free Efficiency Enhancement Of Diffusion Models, by Hongjie Wang et al.
Attention-Driven Training-Free Efficiency Enhancement of Diffusion Modelsby Hongjie Wang, Difan Liu, Yan Kang, Yijun Li,…
Summary of When Foresight Pruning Meets Zeroth-order Optimization: Efficient Federated Learning For Low-memory Devices, by Pengyu Zhang et al.
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devicesby Pengyu Zhang, Yingjie…
Summary of Unlearning Backdoor Attacks Through Gradient-based Model Pruning, by Kealan Dunnett et al.
Unlearning Backdoor Attacks through Gradient-Based Model Pruningby Kealan Dunnett, Reza Arablouei, Dimity Miller, Volkan Dedeoglu,…
Summary of Gi-smn: Gradient Inversion Attack Against Federated Learning Without Prior Knowledge, by Jin Qian and Kaimin Wei and Yongdong Wu and Jilian Zhang and Jipeng Chen and Huan Bao
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledgeby Jin Qian, Kaimin Wei, Yongdong…
Summary of Ted: Accelerate Model Training by Internal Generalization, By Jinying Xiao et al.
TED: Accelerate Model Training by Internal Generalizationby Jinying Xiao, Ping Li, Jie NieFirst submitted to…
Summary of Structure-preserving Network Compression Via Low-rank Induced Training Through Linear Layers Composition, by Xitong Zhang et al.
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Compositionby Xitong Zhang, Ismail R.…
Summary of Structural Pruning Of Pre-trained Language Models Via Neural Architecture Search, by Aaron Klein et al.
Structural Pruning of Pre-trained Language Models via Neural Architecture Searchby Aaron Klein, Jacek Golebiowski, Xingchen…