Summary of Shortened Llama: Depth Pruning For Large Language Models with Comparison Of Retraining Methods, by Bo-kyeong Kim et al.
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methodsby Bo-Kyeong Kim,…
Summary of Training-time Neuron Alignment Through Permutation Subspace For Improving Linear Mode Connectivity and Model Fusion, by Zexi Li et al.
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusionby Zexi…
Summary of Spatial-temporal-demand Clustering For Solving Large-scale Vehicle Routing Problems with Time Windows, by Christoph Kerscher and Stefan Minner
Spatial-temporal-demand clustering for solving large-scale vehicle routing problems with time windowsby Christoph Kerscher, Stefan MinnerFirst…
Summary of Epsd: Early Pruning with Self-distillation For Efficient Model Compression, by Dong Chen et al.
EPSD: Early Pruning with Self-Distillation for Efficient Model Compressionby Dong Chen, Ning Liu, Yichen Zhu,…
Summary of Mapping: Debiasing Graph Neural Networks For Fair Node Classification with Limited Sensitive Information Leakage, by Ying Song and Balaji Palanisamy
MAPPING: Debiasing Graph Neural Networks for Fair Node Classification with Limited Sensitive Information Leakageby Ying…
Summary of Robustness to Distribution Shifts Of Compressed Networks For Edge Devices, by Lulan Shen et al.
Robustness to distribution shifts of compressed networks for edge devicesby Lulan Shen, Ali Edalati, Brett…
Summary of Apt: Adaptive Pruning and Tuning Pretrained Language Models For Efficient Training and Inference, by Bowen Zhao et al.
APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inferenceby Bowen Zhao,…
Summary of Zero-space Cost Fault Tolerance For Transformer-based Language Models on Reram, by Bingbing Li et al.
Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAMby Bingbing Li, Geng Yuan, Zigeng…
Summary of Pruning For Protection: Increasing Jailbreak Resistance in Aligned Llms Without Fine-tuning, by Adib Hasan et al.
Pruning for Protection: Increasing Jailbreak Resistance in Aligned LLMs Without Fine-Tuningby Adib Hasan, Ileana Rugina,…
Summary of Symbolnet: Neural Symbolic Regression with Adaptive Dynamic Pruning For Compression, by Ho Fung Tsoi et al.
SymbolNet: Neural Symbolic Regression with Adaptive Dynamic Pruning for Compressionby Ho Fung Tsoi, Vladimir Loncar,…