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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 25136 items.
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework
Zhihao Hao, Bob Zhang, Haisheng Li
17077-17084
2025-04-11
FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning
Jialuo He, Wei Chen, Xiaojin Zhang
17085-17093
2025-04-11
Geolocation Representation from Large Language Models Are Generic Enhancers for Spatio-Temporal Learning
Junlin He, Tong Nie, Wei Ma
17094-17104
2025-04-11
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Qian He, Wenqi Liang, Chunhui Hao, Gan Sun, Jiandong Tian
17105-17113
2025-04-11
Gradient-Based Sample Selection for Black-Box Universal Domain Adaptation
Qiuyan He, Minghua Deng
17114-17122
2025-04-11
MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis
Wanggui He, Siming Fu, Mushui Liu, Xierui Wang, Wenyi Xiao, Fangxun Shu, Yi Wang, Lei Zhang, Zhelun Yu, Haoyuan Li, Ziwei Huang, Leilei Gan, Hao Jiang
17123-17131
2025-04-11
Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
Weinan He, Zilei Wang, Yixin Zhang
17132-17140
2025-04-11
CAMH: Advancing Model Hijacking Attack in Machine Learning
Xing He, Jiahao Chen, Yuwen Pu, Qingming Li, Chunyi Zhou, Yingcai Wu, Jinbao Li, Shouling Ji
17141-17149
2025-04-11
Differential Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
17150-17158
2025-04-11
Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies
Zhouyu He, Peng Qiao, Rongchun Li, Yong Dou, Yusong Tan
17159-17167
2025-04-11
Bi-Level Optimization for Semi-Supervised Learning with Pseudo-Labeling
Marzi Heidari, Yuhong Guo
17168-17176
2025-04-11
DeepSN: A Sheaf Neural Framework for Influence Maximization
Asela Hevapathige, Qing Wang, Ahad N. Zehmakan
17177-17185
2025-04-11
Generalization Analysis for Deep Contrastive Representation Learning
Nong Minh Hieu, Antoine Ledent, Yunwen Lei, Cheng Yeaw Ku
17186-17194
2025-04-11
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
Yuya Hikima, Akiko Takeda
17195-17203
2025-04-11
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang, O-Joun Lee
17204-17213
2025-04-11
Data Augmentation for Instruction Following Policies via Trajectory Segmentation
Niklas Hoepner, Ilaria Tiddi, Herke van Hoof
17214-17222
2025-04-11
KernelMatmul: Scaling Gaussian Processes to Large Time Series
Tilman Hoffbauer, Holger H. Hoos, Jakob Bossek
17223-17230
2025-04-11
Multimodal Promptable Token Merging for Diffusion Models
Cheng-Yao Hong, Tyng-Luh Liu
17231-17239
2025-04-11
Self-Attentive Spatio-Temporal Calibration for Precise Intermediate Layer Matching in ANN-to-SNN Distillation
Di Hong, Yueming Wang
17240-17248
2025-04-11
A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation
Ryien Hosseini, Filippo Simini, Venkatram Vishwanath, Henry Hoffmann
17249-17257
2025-04-11
Structural Entropy Guided Unsupervised Graph Out-Of-Distribution Detection
Yue Hou, He Zhu, Ruomei Liu, Yingke Su, Jinxiang Xia, Junran Wu, Ke Xu
17258-17266
2025-04-11
Adaptive Multimodal Fusion: Dynamic Attention Allocation for Intent Recognition
Bo Hu, Kai Zhang, Yanghai Zhang, Yuyang Ye
17267-17275
2025-04-11
An Information-theoretic Multi-task Representation Learning Framework for Natural Language Understanding
Dou Hu, Lingwei Wei, Wei Zhou, Songlin Hu
17276-17286
2025-04-11
Unsupervised Kernel-based Multi-view Feature Selection with Robust Self-representation and Binary Hashing
Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei
17287-17294
2025-04-11
Large Language Model Meets Graph Neural Network in Knowledge Distillation
Shengxiang Hu, Guobing Zou, Song Yang, Shiyi Lin, Yanglan Gan, Bofeng Zhang, Yixin Chen
17295-17304
2025-04-11
15426 - 15450 of 25136 items
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