MLSP-P21: Training and Distillation Methods in Deep Learning
Poster
Wed, 6 May, 09:00 - 11:00
Location: Poster Area 8
Session Type: Poster
Track: Machine Learning for Signal Processing [ML]
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MLSP-P21.3: PLA-LOSS: POTENTIAL LABEL-AWARE TRAINING FOR TOP-K CLASSIFICATION

Kai Wang, Shuai Jia, Tianyi Ma, HiThink Research, China; Bin Cao, Zhejiang University of Technology, China

MLSP-P21.4: CODEPMP: SCALABLE PREFERENCE MODEL PRETRAINING FOR LARGE LANGUAGE MODEL REASONING

Huimu Yu, Ziyang Chen, Xing Wu, Institute of Information Engineering, Chinese Academy of Sciences, China; Haotian Xu, Debing Zhang, Xiaohongshu Inc, China; Songlin Hu, Institute of Information Engineering, Chinese Academy of Sciences, China

MLSP-P21.5: SHARPNESS-AWARE MINIMIZATION WITH Z-SCORE GRADIENT FILTERING

Vincent-Daniel Yun, University of Southern California, United States of America

MLSP-P21.6: DYNAMICAL ISOMETRY BASED RIGOROUS FAIR NEURAL ARCHITECTURE SEARCH

JianXiang Luo, University of Electronic Science and Technology of China, China; Junyi Hu, Tsinghua University, China; Wenrui Li, Harbin Institute of Technology, China; Guanghui Cheng, University of Electronic Science and Technology of China, China

MLSP-P21.7: LOSS-ONLY KNOWLEDGE TRANSFER: SIMILARITY-GUIDED LOSS WITH LLM PRIORS

Youngin Park, Chul-hee Hahm, Sangyoung Lee, Jiyong Moon, Visual Display Division, Samsung Electronics, Korea, Republic of

MLSP-P21.9: BOOSTING KNOWLEDGE DISTILLATION VIA LOCAL CATEGORIES SIMILARITY SCALING

Dingyao Chen, National University of Defense Technology, China; Shanshan Zhang, Xiamen University, China; Keyan Jin, University of Granada, Spain; Yuxin Zhang, Long Lan, National University of Defense Technology, China; Xiao Teng, Naval University of Engineering, China

MLSP-P21.10: PanoIndoor and PanoOutdoor: Towards Comprehensive Datasets for Panoramic Instance Segmentation

Liang Hua, Hang Xu, Hangzhou Dianzi University, China; Xinyuan Liu, Institute of Computing Technology, Chinese Academy of Sciences, China; Yaoqi Sun, Lishui University, China; Chenggang Yan, Hangzhou Dianzi University, China; Feng Dai, Institute of Computing Technology, Chinese Academy of Sciences, China