Summary of Measuring Sample Importance in Data Pruning For Language Models Based on Information Entropy, by Minsang Kim et al.
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropyby Minsang Kim,…
Summary of Layermerge: Neural Network Depth Compression Through Layer Pruning and Merging, by Jinuk Kim et al.
LayerMerge: Neural Network Depth Compression through Layer Pruning and Mergingby Jinuk Kim, Marwa El Halabi,…
Summary of Federated Learning with a Single Shared Image, by Sunny Soni et al.
Federated Learning with a Single Shared Imageby Sunny Soni, Aaqib Saeed, Yuki M. AsanoFirst submitted…
Summary of Score: a 1d Reparameterization Technique to Break Bayesian Optimization’s Curse Of Dimensionality, by Joseph Chakar
SCORE: A 1D Reparameterization Technique to Break Bayesian Optimization’s Curse of Dimensionalityby Joseph ChakarFirst submitted…
Summary of Attention Score Is Not All You Need For Token Importance Indicator in Kv Cache Reduction: Value Also Matters, by Zhiyu Guo et al.
Attention Score is not All You Need for Token Importance Indicator in KV Cache Reduction:…
Summary of Multi-dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraint, by Xinglong Sun et al.
Multi-Dimensional Pruning: Joint Channel, Layer and Block Pruning with Latency Constraintby Xinglong Sun, Barath Lakshmanan,…
Summary of Not All Prompts Are Made Equal: Prompt-based Pruning Of Text-to-image Diffusion Models, by Alireza Ganjdanesh et al.
Not All Prompts Are Made Equal: Prompt-based Pruning of Text-to-Image Diffusion Modelsby Alireza Ganjdanesh, Reza…
Summary of Towards Efficient Target-level Machine Unlearning Based on Essential Graph, by Heng Xu et al.
Towards Efficient Target-Level Machine Unlearning Based on Essential Graphby Heng Xu, Tianqing Zhu, Lefeng Zhang,…
Summary of Bypass Back-propagation: Optimization-based Structural Pruning For Large Language Models Via Policy Gradient, by Yuan Gao et al.
Bypass Back-propagation: Optimization-based Structural Pruning for Large Language Models via Policy Gradientby Yuan Gao, Zujing…
Summary of Pruning Is Optimal For Learning Sparse Features in High-dimensions, by Nuri Mert Vural and Murat A. Erdogdu
Pruning is Optimal for Learning Sparse Features in High-Dimensionsby Nuri Mert Vural, Murat A. ErdogduFirst…