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13-1》
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354010


题名作者出版年
Diffusion Language-Shapelets for Semi-supervised Time-Series ClassificationZhen Liu; Wenbin Pei; Disen Lan; Qianli Ma2024
Decentralized Sum-of-Nonconvex OptimizationZhuanghua Liu; Bryan Kian Hsiang Low2024
Incremental Quasi-Newton Methods with Faster Superlinear Convergence RatesZhuanghua Liu; Luo Luo; Bryan Kian Hsiang Low2024
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time AdaptationZichen Liu; Hongbo Sun; Yuxin Peng; Jiahuan Zhou2024
Backdoor Attacks via Machine UnlearningZihao Liu; Tianhao Wang; Mengdi Huai; Chenglin Miao2024
Cooperative Knowledge Distillation: A Learner Agnostic ApproachMichael Livanos; Ian Davidson; Stephen Wong2024
On the Convergence of an Adaptive Momentum Method for Adversarial AttacksSheng Long; Wei Tao; Shuohao Li; Jun Lei; Jun Zhang2024
Layer Collaboration in the Forward-Forward AlgorithmGuy Lorberbom; Itai Gat; Yossi Adi; Alexander Schwing; Tamir Hazan2024
CGS-Mask: Making Time Series Predictions Intuitive for AllFeng Lu; Wei Li; Yifei Sun; Cheng Song; Yufei Ren; Albert Y. Zomaya2024
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue CorrectionKangkang Lu; Yanhua Yu; Hao Fei; Xuan Li; Zixuan Yang; Zirui Guo; Meiyu Liang; Mengran Yin; Tat-Seng Chua2024
UniADS: Universal Architecture-Distiller Search for Distillation GapLiming Lu; Zhenghan Chen; Xiaoyu Lu; Yihang Rao; Lujun Li; Shuchao Pang2024
NodeMixup: Tackling Under-Reaching for Graph Neural NetworksWeigang Lu; Ziyu Guan; Wei Zhao; Yaming Yang; Long Jin2024
Federated Learning with Extremely Noisy Clients via Negative DistillationYang Lu; Lin Chen; Yonggang Zhang; Yiliang Zhang; Bo Han; Yiu-ming Cheung; Hanzi Wang2024
Decoupled Contrastive Multi-View Clustering with High-Order Random WalksYiding Lu; Yijie Lin; Mouxing Yang; Dezhong Peng; Peng Hu; Xi Peng2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective OptimizationYongfan Lu; Bingdong Li; Aimin Zhou2024
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image GenerationZhuqiang Lu; Kun Hu; Chaoyue Wang; Lei Bai; Zhiyong Wang2024
Leveraging Diffusion Perturbations for Measuring Fairness in Computer VisionNicholas Lui; Bryan Chia; William Berrios; Candace Ross; Douwe Kiela2024
Three Heads Are Better than One: Complementary Experts for Long-Tailed Semi-supervised LearningChengcheng Ma; Ismail Elezi; Jiankang Deng; Weiming Dong; Changsheng Xu2024
Discerning Temporal Difference LearningJianfei Ma2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization TrainingLianbo Ma; Yuee Zhou; Jianlun Ma; Guo Yu; Qing Li2024
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