MLSP-L13.5

CTR-LORA: CURVATURE-AWARE AND TRUST-REGION GUIDED LOW-RANK ADAPTATION FOR LARGE LANGUAGE MODELS

Zhuxuanzi Wang, Mingqiao Mo, Cornell University, United States of America; Xi Xiao, University of Alabama at Birmingham, United States of America; Chen Liu, Yale University, United States of America; Chenrui Ma, University of California, Irvine, United States of America; Yunbei Zhang, Tulane University, United States of America; Xiao Wang, Oak Ridge National Laboratory, United States of America; Smita Krishnaswamy, Yale University, United States of America; Tianyang Wang, University of Alabama at Birmingham, United States of America
Session:
MLSP-L13: Self-Supervised and Efficient Learning in Deep Models Oral
Track:
Machine Learning for Signal Processing [ML]
Location:
Room 117
Presentation Time:
Wed, 6 May, 15:20 - 15:40
Presentation
Discussion
Resources
No resources available.
Session MLSP-L13
MLSP-L13.1: Hadamard Tensor Ring for Efficient Low-Rank Fine-Tuning
Huimin Tong, Hikvision Digital Technology Co., Ltd., China; Guoxi Xu, Alibaba Group, China; Yiwei Chen, Chinese Academy of Sciences, University of Science and Technology of China, China
MLSP-L13.2: FINE-TUNED DEEP SUBSPACE CLUSTERING NETWORKS
Yuxuan JIANG, Chenwei YU, Zhi LIN, The Hong Kong University of Science and Technology, Hong Kong; Xiaolan LIU, South China University of Technology, China
MLSP-L13.3: HGAN-SDEs: Learning Neural Stochastic Differential Equations with Hermite-Guided Adversarial Training
Yuanjian Xu, Jianing Hao, Hong Kong University of Science and Technology (guangzhou), China; Shuai Yuan, Peking University, China; Guang Zhang, Hong Kong University of Science and Technology (guangzhou), China
MLSP-L13.4: CURVILINEAR SPECTRAL U-NET: A FRAMEWORK FOR STRUCTURE-AWARE ROAD EXTRACTION FROM VERY HIGH RESOLUTION IMAGERY
Deepak Mishra, Indian Institute of Space Science and Technology, India; Ayra Riaz Khan, Aligarh Muslim University, India; Jayakumar T V, Anandakumar M Ramiya, Indian Institute of Space Science and Technology, India
MLSP-L13.5: CTR-LORA: CURVATURE-AWARE AND TRUST-REGION GUIDED LOW-RANK ADAPTATION FOR LARGE LANGUAGE MODELS
Zhuxuanzi Wang, Mingqiao Mo, Cornell University, United States of America; Xi Xiao, University of Alabama at Birmingham, United States of America; Chen Liu, Yale University, United States of America; Chenrui Ma, University of California, Irvine, United States of America; Yunbei Zhang, Tulane University, United States of America; Xiao Wang, Oak Ridge National Laboratory, United States of America; Smita Krishnaswamy, Yale University, United States of America; Tianyang Wang, University of Alabama at Birmingham, United States of America
MLSP-L13.6: POLYNOMIAL MIXING FOR EFFICIENT SELF-SUPERVISED SPEECH ENCODERS
Eva Feillet, Université Paris-Saclay, France; Ryan Whetten, Avignon Université, France; David Picard, École Nationale des Ponts et Chaussées, France; Alexandre Allauzen, Université Paris Dauphine-PSL, France
Contacts