MLSP-L2.3
ELEVATING VISUAL PROMPTING IN TRANSFER LEARNING VIA PRUNED MODEL ENSEMBLES: NO RETRAIN, NO PAIN
Brian Zhang, Northville High School, United States of America; Yuguang Yao, Sijia Liu, Michigan State University, United States of America
Session:
MLSP-L2: Transfer Learning I Lecture
Track:
Machine Learning for Signal Processing
Location:
Room E3
Presentation Time:
Tue, 16 Apr, 13:50 - 14:10 (UTC +9)
Session Co-Chairs:
Mete Ozay, Samsung and Sijia Liu, Michigan State University
Session MLSP-L2
MLSP-L2.1: G2G: GENERALIZED LEARNING BY CROSS-DOMAIN KNOWLEDGE TRANSFER FOR FEDERATED DOMAIN GENERALIZATION
Xinqian Chen, Jin Zhang, Xiaoli Gong, NanKai University, China
MLSP-L2.2: Enhanced Unsupervised Domain Adaptation with Dual-attention between Classification and Domain Alignment
Yifan Pan, Guibo Luo, Bairong Li, Yuesheng Zhu, Peking University, China
MLSP-L2.3: ELEVATING VISUAL PROMPTING IN TRANSFER LEARNING VIA PRUNED MODEL ENSEMBLES: NO RETRAIN, NO PAIN
Brian Zhang, Northville High School, United States of America; Yuguang Yao, Sijia Liu, Michigan State University, United States of America
MLSP-L2.4: IRLSG: INVARIANT REPRESENTATION LEARNING FOR SINGLE-DOMAIN GENERALIZATION IN MEDICAL IMAGE SEGMENTATION
Ziwei Niu, Hao Sun, Shuyi Ouyang, Shiao Xie, Zhejiang University, China; Yen-Wei Chen, Ritsumeikan University, China; Ruofeng Tong, Lanfen Lin, Zhejiang University, China
MLSP-L2.5: DEEP NEURAL NETWORK MODELS TRAINED WITH A FIXED RANDOM CLASSIFIER TRANSFER BETTER ACROSS DOMAINS
Hafiz Tiomoko Ali, Umberto Michieli, Ji joong Moon, Daehyun Kim, Mete Ozay, Samsung, United Kingdom of Great Britain and Northern Ireland
MLSP-L2.6: ENHANCING CROSS-DOMAIN DETECTION: ADAPTIVE CLASS-AWARE CONTRASTIVE TRANSFORMER
Ziru ZENG, Yue DING, Hongtao Lu, shanghaijiaotong University, China
Contacts