Summary of Fusegpt: Learnable Layers Fusion Of Generative Pre-trained Transformers, by Zehua Pei et al.
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformersby Zehua Pei, Hui-Ling Zhen, Xianzhi Yu, Sinno…
FuseGPT: Learnable Layers Fusion of Generative Pre-trained Transformersby Zehua Pei, Hui-Ling Zhen, Xianzhi Yu, Sinno…
Layer Pruning with Consensus: A Triple-Win Solutionby Leandro Giusti Mugnaini, Carolina Tavares Duarte, Anna H.…
AutoMixQ: Self-Adjusting Quantization for High Performance Memory-Efficient Fine-Tuningby Changhai Zhou, Shiyang Zhang, Yuhua Zhou, Zekai…
Data Pruning in Generative Diffusion Modelsby Rania Briq, Jiangtao Wang, Stefan KesselheimFirst submitted to arxiv…
Distill the Best, Ignore the Rest: Improving Dataset Distillation with Loss-Value-Based Pruningby Brian B. Moser,…
DeTrigger: A Gradient-Centric Approach to Backdoor Attack Mitigation in Federated Learningby Kichang Lee, Yujin Shin,…
RedTest: Towards Measuring Redundancy in Deep Neural Networks Effectivelyby Yao Lu, Peixin Zhang, Jingyi Wang,…
Ghost-Connect Net: A Generalization-Enhanced Guidance For Sparse Deep Networks Under Distribution Shiftsby Mary Isabelle Wisell,…
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learningby Sanggeon Yun, Ryozo…
Complexity-Aware Training of Deep Neural Networks for Optimal Structure Discoveryby Valentin Frank Ingmar Guenter, Athanasios…