Orthogonal Nonnegative Matrix Factorization with the Kullback-Leibler divergenceby Jean Pacifique Nkurunziza, Fulgence Nahayo, Nicolas GillisFirst…
Minority-Focused Text-to-Image Generation via Prompt Optimizationby Soobin Um, Jong Chul YeFirst submitted to arxiv on:…
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learningby Jingbo Zhang, Qiong…
A Generalization Result for Convergence in Learning-to-Optimizeby Michael Sucker, Peter OchsFirst submitted to arxiv on:…
Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structuresby Yiming Chen, Yuan Zhang, Liyuan Cao,…
PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiencyby Preferred Elements, Kenshin Abe, Kaizaburo Chubachi,…
On Reward Transferability in Adversarial Inverse Reinforcement Learning: Insights from Random Matrix Theoryby Yangchun Zhang,…
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selectionby Han Shen, Pin-Yu Chen, Payel Das,…
Dense Optimizer : An Information Entropy-Guided Structural Search Method for Dense-like Neural Network Designby Liu…
Boosting the Performance of Decentralized Federated Learning via Catalyst Accelerationby Qinglun Li, Miao Zhang, Yingqi…