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会议文集


文集名AAAI Technical Tracks (Machine Learning IV)
会议名38th AAAI Conference on Artificial Intelligence (AAAI-24), 36th Conference on Innovative Applications of Artificial Intelligence (IAAI-24), 14th Symposium on Educational Advances in Artificial Intelligence (EAAI-24)
中译名《第三十八届AAAI人工智能会议，第三十六届人工智能创新应用会议，第十四届人工智能教育进展讨论会，卷13-2》
机构Association for the Advancement of Artificial Intelligence (AAAI)
会议日期20-27 February 2024
会议地点Vancouver, Canada
出版年2024
馆藏号354011


题名作者出版年
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View ClusteringJingyu Pu; Chenhang Cui; Xinyue Chen; Yazhou Ren; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment PredictionHao Qian; Hongting Zhou; Qian Zhao; Hao Chen; Hongxiang Yao; Jingwei Wang; Ziqi Liu; Fei Yu; Zhiqiang Zhang; Jun Zhou2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal PredictionWei Qian; Chenxu Zhao; Yangyi Li; Fenglong Ma; Chao Zhang; Mengdi Huai2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational ClusteringXiaowei Qian; Bingheng Li; Zhao Kang2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency TradingMolei Qin; Shuo Sun; Wentao Zhang; Haochong Xia; Xinrun Wang; Bo An2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual PerspectiveZhen Qin; Feiyi Chen; Chen Zhi; Xueqiang Yan; Shuiguang Deng2024
Tree Search-Based Evolutionary Bandits for Protein Sequence OptimizationJiahao Qiu; Hui Yuan; Jinghong Zhang; Wentao Chen; Huazheng Wang; Mengdi Wang2024
Multi-Level Cross-Modal Alignment for Image ClusteringLiping Qiu; Qin Zhang; Xiaojun Chen; Shaotian Cai2024
Integer Is Enough: When Vertical Federated Learning Meets RoundingPengyu Qiu; Yuwen Pu; Yongchao Liu; Wenyan Liu; Yun Yue; Xiaowei Zhu; Lichun Li; Jinbao Li; Shouling Ji2024
Towards Multi-Mode Outlier Robust Tensor Ring DecompositionYuning Qiu; Guoxu Zhou; Andong Wang; Zhenhao Huang; Qibin Zhao2024
Learning the Topology and Behavior of Discrete Dynamical SystemsZirou Qiu; Abhijin Adiga; Madhav V. Marathe; S. S. Ravi; Daniel J. Rosenkrantz; Richard E. Stearns; Anil Vullikanti2024
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing ModalitiesJiahui Qu; Yuanbo Yang; Wenqian Dong; Yufei Yang2024
Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning TasksXiaofan Que; Qi Yu2024
DSD2: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?Victor Quetu; Enzo Tartaglione2024
Fair Participation via Sequential PoliciesReilly Raab; Ross Boczar; Maryam Fazel; Yang Liu2024
Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution DataSai Niranjan Ramachandran; Rudrabha Mukhopadhyay; Madhav Agarwal; C. V. Jawahar; Vinay Namboodiri2024
GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial EquationsNisal Ranasinghe; Damith Senanayake; Sachith Seneviratne; Malin Premaratne; Saman Halgamuge2024
Using Stratified Sampling to Improve LIME Image ExplanationsMuhammad Rashid; Elvio G. Amparore; Enrico Ferrari; Damiano Verda2024
NESTER: An Adaptive Neurosymbolic Method for Causal Effect EstimationAbbavaram Gowtham Reddy; Vineeth N Balasubramanian2024
Towards Learning and Explaining Indirect Causal Effects in Neural NetworksAbbavaram Gowtham Reddy; Saketh Bachu; Harsharaj Pathak; Benin L. Godfrey; Varshaneya V; Vineeth N. Balasubramanian; Satyanarayan Kar2024
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