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会议文集


文集名AAAI Technical Tracks (Machine Learning IV)
会议名39th AAAI Conference on Artificial Intelligence (AAAI-25), 37th Conference on Innovative Applications of Artificial Intelligence (IAAI-25), 15th Symposium on Educational Advances in Artificial Intelligence (EAAI-25)
中译名《第三十九届AAAI人工智能会议，第三十七届人工智能创新应用会议，第十五届人工智能教育进展讨论会，卷18-1》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期25 February - 4 March 2025
会议地点Philadelphia, Pennsylvania, USA
出版年2025
馆藏号358207


题名作者出版年
Metric-Agnostic Continual Learning for Sustainable Group FairnessHeng Lian; Chen Zhao; Zhong Chen; Xingquan Zhu; My T. Thai; Yi He2025
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain GeneralizationHaoyuan Liang; Xinyu Zhang; Shilei Cao; Guowen Li; Juepeng Zheng2025
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive LearningJianqing Liang; Xinkai Wei; Min Chen; Zhiqiang Wang; Jiye Liang2025
Label Noise Correction via Fuzzy Learning MachineJiye Liang; Yixiao Li; Junbiao Cui2025
MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language ModelsTian Liang; Yuetian Du; Jing Huang; Ming Kong; Luyuan Chen; Yadong Li; Siye Chen; Qiang Zhu2025
Towards Scalable and Deep Graph Neural Networks via Noise MaskingYuxuan Liang; Wentao Zhang; Zeang Sheng; Ling Yang; Quanqing Xu; Jiawei Jiang; Yunhai Tong; Bin Cui2025
Till the Layers Collapse: Compressing a Deep Neural Network Through the Lenses of Batch Normalization LayersZhu Liao; Nour Hezbri; Victor Quetu; Van-Tam Nguyen; Enzo Tartaglione2025
Learning Local Neighborhoods of Non-Gaussian Graphical ModelsSarah Liaw; Rebecca Morrison; Youssef Marzouk; Ricardo Baptista2025
Convergence Analysis of Federated Learning Methods Using Backward Error AnalysisJinwoo Lim; Suhyun Kim; Soo-Mook Moon2025
Efficient Reinforcement Learning in Probabilistic Reward MachinesXiaofeng Lin; Xuezhou Zhang2025
Local Causal Discovery Without Causal SufficiencyZhaolong Ling; Jiale Yu; Yiwen Zhang; Debo Cheng; Peng Zhou; Xingyu Wu; Bingbing Jiang; Kui Yu2025
Graph Agent Network: Empowering Nodes with Inference Capabilities for Adversarial ResilienceAo Liu; Wenshan Li; Tao Li; Beibei Li; Guangquan Xu; Pan Zhou; Wengang Ma; Hanyuan Huang2025
Grimm: A Plug-and-Play Perturbation Rectifier for Graph Neural Networks Defending Against Poisoning AttacksAo Liu; Wenshan Li; Beibei Li; Wengang Ma; Tao Li; Pan Zhou2025
Subgraph Aggregation for Out-of-Distribution Generalization on GraphsBowen Liu; Haoyang Li; Shuning Wang; Shuo Nie; Shanghang Zhang2025
An Enhanced Levenberg-Marquardt Method via Gram ReductionChengchang Liu; Luo Luo; John C. S. Lui2025
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality AlignmentChenxi Liu; Qianxiong Xu; Hao Miao; Sun Yang; Lingzheng Zhang; Cheng Long; Ziyue Li; Rui Zhao2025
Pareto Set Learning for Multi-Objective Reinforcement LearningErlong Liu; Yu-Chang Wu; Xiaobin Huang; Chengrui Gao; Ren-Jian Wang; Ke Xue; Chao Qian2025
Asymmetric Learning for Spectral Graph Neural NetworksFangbing Liu; Qing Wang2025
Uncertainty-Aware Contrastive Learning With Hard Negative Sampling for Code Search TasksHan Liu; Jiaqing Zhan; Qin Zhang2025
Learning Disentangled Equivariant Representation for Explicitly Controllable 3D Molecule GenerationHaoran Liu; Youzhi Luo; Tianxiao Li; James Caverlee; Martin Renqiang Min2025
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