Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanismby Guanchen Li, Xiandong Zhao, Lian Liu,…
Single-cell Curriculum Learning-based Deep Graph Embedding Clusteringby Huifa Li, Jie Fu, Xinpeng Ling, Zhiyu Sun,…
LLM-Barber: Block-Aware Rebuilder for Sparsity Mask in One-Shot for Large Language Modelsby Yupeng Su, Ziyi…
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Modelsby Cheng Lin, Lujun Li, Dezhi Li,…
Second-Order Forward-Mode Automatic Differentiation for Optimizationby Adam D. Cobb, Atılım Güneş Baydin, Barak A. Pearlmutter,…
FedKBP: Federated dose prediction framework for knowledge-based planning in radiation therapyby Jingyun Chen, Martin King,…
Preference-Optimized Pareto Set Learning for Blackbox Optimizationby Zhang Haishan, Diptesh Das, Koji TsudaFirst submitted to…
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Ratesby Puning Zhao, Jiafei Wu, Zhe…
Unsupervised Machine Learning Hybrid Approach Integrating Linear Programming in Loss Function: A Robust Optimization Techniqueby…
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detectionby Arya Hadizadeh Moghaddam, Mohsen…