会议文集


文集名AAAI Technical Tracks (Machine Learning V)
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14-2》
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354013


题名作者出版年
Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series DataYucheng Wang; Yuecong Xu; Jianfei Yang; Min Wu; Xiaoli Li; Lihua Xie; Zhenghua Chen2024
Graph-Aware Contrasting for Multivariate Time-Series ClassificationYucheng Wang; Yuecong Xu; Jianfei Yang; Min Wu; Xiaoli Li; Lihua Xie; Zhenghua Chen2024
Superposed Atomic Representation for Robust High-Dimensional Data Recovery of Multiple Low-Dimensional StructuresYulong Wang2024
Consistency-GAN: Training GANs with Consistency ModelYunpeng Wang; Meng Pang; Shengbo Chen; Hong Rao2024
DRF: Improving Certified Robustness via Distributional Robustness FrameworkZekai Wang; Zhengyu Zhou; Weiwei Liu2024
BVT-IMA: Binary Vision Transformer with Information-Modified AttentionZhenyu Wang; Hao Luo; Xuemei Xie; Fan Wang; Guangming Shi2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed BanditsZhiwei Wang; Huazheng Wang; Hongning Wang2024
Building Minimal and Reusable Causal State Abstractions for Reinforcement LearningZizhao Wang; Caroline Wang; Xuesu Xiao; Yuke Zhu; Peter Stone2024
EAT: Towards Long-Tailed Out-of-Distribution DetectionTong Wei; Bo-Lin Wang; Min-Ling Zhang2024
Levenshtein Distance Embedding with Poisson Regression for DNA StorageXiang Wei; Alan J. X. Guo; Sihan Sun; Mengyi Wei; Wei Yu2024
Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain GeneralizationYikang Wei; Yahong Han2024
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy DiscoveryZimian Wei; Peijie Dong; Zheng Hui; Anggeng Li; Lujun Li; Menglong Lu; Hengyue Pan; Dongsheng Li2024
Hyperbolic Graph Diffusion ModelLingfeng Wen; Xuan Tang; Mingjie Ouyang; Xiangxiang Shen; Jian Yang; Daxin Zhu; Mingsong Chen; Xian Wei2024
Communication Efficient Distributed Newton Method over Unreliable NetworksMing Wen; Chengchang Liu; Yuedong Xu2024
Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph ClusteringZichen Wen; Yawen Ling; Yazhou Ren; Tianyi Wu; Jianpeng Chen; Xiaorong Pu; Zhifeng Hao; Lifang He2024
Reproduce, Replicate, Reevaluate. The Long but Safe Way to Extend Machine Learning MethodsLuisa Werner; Nabil Layaida; Pierre Geneves; Jerome Euzenat; Damien Graux2024
Robust Loss Functions for Training Decision Trees with Noisy LabelsJonathan Wilton; Nan Ye2024
Neural Network Approximation for Pessimistic Offline Reinforcement LearningDi Wu; Yuling Jiao; Li Shen; Haizhao Yang; Xiliang Lu2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember VariabilityDong Wu; Mingmin Chi; Xuan Zang; Bo Peng2024
Distilling Reliable Knowledge for Instance-Dependent Partial Label LearningDong-Dong Wu; Deng-Bao Wang; Min-Ling Zhang2024
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