MLSP-P27.4
DYNAMIC MODEL STRUCTURE ADJUSTMENT TO REALIZE QUANTUM CONTINUAL LEARNING BASED ON QUANTUM DATA
HaiLiang Xu, Haozhen Situ, South China Agricultural University, China
Session:
MLSP-P27: Transfer Learning III Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 3C
Poster Board PZ-3C.4
Poster Board PZ-3C.4
Presentation Time:
Thu, 18 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Arijit Sur, Indian Institute of Technology Guwahati
Session MLSP-P27
MLSP-P27.1: PRIVACY-PRESERVING ATTENTION-WEIGHTED MULTI-SOURCE DOMAIN ADAPTATION FOR EEG MOTOR IMAGERY
Yu-Mei Huang, Hui-Nien Hung, Vincent S. Tseng, National Yang Ming Chiao Tung University, Taiwan
MLSP-P27.2: MITIGATING OPTIMIZATION CONFLICT IN DOMAIN ADVERSARIAL NEURAL NETWORK VIA UNCERTAINTY-AWARE
Zhiqun Pan, University of Shanghai for Science and Technologyh, China; Yongxiong Wang, Jiapeng Zhang, Xiaoming Wang, Guangpeng Wang, University of Shanghai for Science and Technology, China
MLSP-P27.3: Learning Invariant Representation with Consistency and Diversity for Semi-supervised Source Hypothesis Transfer
Xiaodong Wang, Peking University, China; Junbao Zhuo, Chinese Academy of Sciences, China; Shuhao Cui, Kuaishou Technology, China; Shuhui Wang, Chinese Academy of Sciences, China; Yuejian Fang, Peking University, China
MLSP-P27.4: DYNAMIC MODEL STRUCTURE ADJUSTMENT TO REALIZE QUANTUM CONTINUAL LEARNING BASED ON QUANTUM DATA
HaiLiang Xu, Haozhen Situ, South China Agricultural University, China
MLSP-P27.5: Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
Eduardo Fernandes Montesuma, Fred Ngolè Mboula, Antoine Souloumiac, Université Paris-Saclay, CEA, List, F-91120 Palaiseau, France, France
MLSP-P27.6: REGULARIZED CONDITIONAL ALIGNMENT FOR MULTI-DOMAIN TEXT CLASSIFICATION
Juntao Hu, Yuan Wu, Jilin University, China
MLSP-P27.8: PLS: UNSUPERVISED DOMAIN ADAPTATION FOR 3D OBJECT DETECTION VIA PSEUDO-LABEL SIZES
Shijie Chen, Rongquan Wang, Xin Li, Yuchen Wu, Haizhuang Liu, Jiansheng Chen, Huimin Ma, University of Science and Technology Beijing, China
MLSP-P27.9: A COMPARISON OF PARAMETER-EFFICIENT ASR DOMAIN ADAPTATION METHODS FOR UNIVERSAL SPEECH AND LANGUAGE MODELS
Khe Chai Sim, Zhouyuan Huo, Tsendsuren Munkhdalai, Nikhil Siddhartha, Adam Stooke, Zhong Meng, Bo Li, Tara Sainath, Google, United States of America
MLSP-P27.10: STABLEMISS+: PREDICTION WITH INCOMPLETE DATA UNDER AGNOSTIC MASK DISTRIBUTION SHIFT
Yichen Zhu, Bo Jiang, Shanghai Jiao Tong University, China
MLSP-P27.11: Diversifying Cross-Domain Few-shot Learning via Multimodal Image Editing
Zhipeng Lin, Wenjing Yang, Long Lan, Mingyang Geng, Haotian Wang, National University of Defense Technology, Changsha, China, China; Haoang Chi, Academy of Military Science, Beijing, China, China; Xueqiong Li, Ji Wang, National University of Defense Technology, Changsha, China, China
MLSP-P27.12: Source-data-free Cross-domain Knowledge Transfer for Semantic Segmentation
Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama, Hokkaido University Ringgold standard institution - Faculty of Information Science and Technology N-14, W-9, Kita-ku, Sapporo, Hokkaido , Sapporo, Hokkaido 060-0814 Japan
Contacts