MLSP-P35.9

POST-HOC FAIRNESS ADJUSTMENT VIA COUNTERFACTUAL SENSITIVE ATTRIBUTES LEARNING

Shujun Xie, Jinan University, China; Bowei Wu, Ministry of Education of China Chongqing, China; Xiaoyu Zhang, Ke Wang, Jinan University, China; Enhao Huang, Zhejiang University, China; Siu-Ming Yiu, The University of Hong Kong, China

Session:
MLSP-P35: Domain Adaptation and Continual Learning Poster

Track:
Machine Learning for Signal Processing [ML]

Location:
Poster Area 4

Presentation Time:
Wed, 6 May, 16:30 - 18:30

Presentation
Discussion
Resources
No resources available.
Session MLSP-P35
MLSP-P35.1: ROLE-SPECIALIST AND CONFIDENCE-SELECTIVE MULTI-TEACHER COLLABORATIVE DISTILLATION FOR MULTI-SOURCE DOMAIN ADAPTATION
Jianing Yang, Huibin Tan, Xihuai He, Wanrong Huang, Hengzhu Liu, Huan Chen, 国防科技大学, China
MLSP-P35.2: MITIGATING DOMAIN SHIFT IN ULTRASONIC WAVEFIELD PATTERN ANALYSIS THROUGH TEST-TIME TRAINING
Jiaxing YE, Takumi Kobayashi, National Institute of Advanced Industrial Science and Technology, Japan
MLSP-P35.3: RETHINKING DATASET PRUNING: LET THE PIXEL SPEAK FOR ITSELF
Chenyue Yu, Lingao Xiao, National University of Singapore, Singapore; Hongjie Wu, Sichuan University, China; Yang He, Agency for Science, Technology and Research, Singapore, China
MLSP-P35.4: PROTOTYPICAL SELF-TRAINING WITH PROGRESS-AWARE UPDATE FOR SOURCE-FREE DOMAIN ADAPTATION IN SEMANTIC SEGMENTATION
Junhao Yan, Bingrong Xu, Cheng Lian, Wuhan University of Technology, China; Jianhua Yin, Beijing Institute of Technology, China
MLSP-P35.5: FS-LoRA: Fast and Slow Low-Rank Adaptation for Class Incremental Learning
Yuting Hou, Xuefei Tong, Kedian Mu, Peking University, China
MLSP-P35.6: Patch-based Active Source-Free Domain Adaptation for Annotation-Efficient Medical Image Segmentation
Jiahua Dong, Zhejiang Univeristy, China; Yue Zhang, University of Electronic Science and Technology of China, China; Zhenhu Zhang, Lanfen Lin, Zhejiang Univeristy, China; Yen-Wei Chen, Ritsumeikan University, Japan; Ruofeng Tong, Zhejiang Univeristy, China
MLSP-P35.7: AIBA-YOLO: Adaptive Information Balance Augmentation YOLO
Wei Wang, Peiting Zhu, Nankai University, China; Xuejiao Liu, Xueshuang Xiang, Academy of Space Technology, China; Yue Li, Nankai University, China
MLSP-P35.8: GUIDED BAYESIAN CONSOLIDATION FOR CLASS-INCREMENTAL CONTINUAL LEARNING THROUGH VARIATIONAL CONSTRAINTS AND NOISE PERTURBATIONS
Ziyi Wang, University of Macau, Macao; Yangrui Fan, Peilun Lyu, Ben Ye, Macau University of Science and Technology, Macao
MLSP-P35.9: POST-HOC FAIRNESS ADJUSTMENT VIA COUNTERFACTUAL SENSITIVE ATTRIBUTES LEARNING
Shujun Xie, Jinan University, China; Bowei Wu, Ministry of Education of China Chongqing, China; Xiaoyu Zhang, Ke Wang, Jinan University, China; Enhao Huang, Zhejiang University, China; Siu-Ming Yiu, The University of Hong Kong, China
MLSP-P35.10: DSG: DUAL-SEMANTIC GUIDANCE FROM LLM TO TOKEN DISTILLATION FOR FEW-SHOT INCREMENTAL LEARNING
ZiRui Tao, TianYu Shen, JiangLi Liu, KeQiu Wang, KunFeng Wang, Beijing University of Chemical Technology, China
Contacts