Papers
16,137 papers found
Data Heterogeneity and Forgotten Labels in Split Federated Learning
Joana Tirana, Dimitra Tsigkari, David Solans Noguero et al.
Meta-GAIN for Missing Data Imputation
Tao Tong, Xiaofeng Zhu, Jiangzhang Gan
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen et al.
Variation-Bounded Loss for Noise-Tolerant Learning
Jialiang Wang, Xiong Zhou, Xianming Liu et al.
Anchor-Driven Nyström for Deep Graph-Level Clustering
Jiaxin Wang, Wenxuan Tu, Lingren Wang et al.
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
Jieting Wang, Huimei Shi, Feijiang Li et al.
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
Jieting Wang, Xiaolei Shang, Feijiang Li et al.
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
Jinping Wang, Zhiqiang Gao, Zhiwu Xie
FeTS: A Feature-Aware Framework for Time Series Forecasting
Le Wang, Jianyong Chen, Songbai Liu
S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems
Maoran Wang, Xingju Cai, Yongxin Chen
CometNet: Contextual Motif-guided Long-term Time Series Forecasting
Weixu Wang, Xiaobo Zhou, Xin Qiao et al.
ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering
Xinyue Wang, Yuheng Jia, Hui Liu et al.
Latent State-Predictive Exploration for Deep Reinforcement Learning
Yiming Wang, Kaiyan Zhao, Borong Zhang et al.
A General Anchor-Based Framework for Scalable Fair Clustering
Shengfei Wei, Suyuan Liu, Jun Wang et al.
Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis
Jiulong Wu, Yucheng Shen, Lingyong Yan et al.
MPA: Multimodal Prototype Augmentation for Few-Shot Learning
Liwen Wu, Wei Wang, Lei Zhao et al.
Efficient Plug-and-Play Weight Refinement for Sparse Large Models
Jingcheng Xie, Yinda Chen, Xiaoyu Liu et al.
On Modality Weighting and Specificity for Multi-Modal Entity Alignment
Yu Xing, Qizhuo Xie, Yunhui Liu et al.
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
Haonan Xu, Yang Yang
A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning
Meng Xu, Xinhong Chen, Zhongying Chen et al.
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
Huiyan Xue, Xuming Ran, Yaxin Li et al.
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
Mingkun Yang, Ran Zhu, Qing Wang et al.
Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models
Zhiwen Yang, Jiehua Zhang, Chenggang Yan et al.
Learning Adaptive and Expandable Mixture Model for Continual Learning
Fei Ye, YongCheng Zhong, Qihe Liu et al.
Rethink Representation Learning for Questionnaire Data
Guanhua Ye, Jifeng He, Yan Li et al.