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会议文集


文集名AAAI Technical Tracks (Machine Learning V)
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19-2》
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358210


题名作者出版年
Improving Model Probability Calibration by Integration of Large Data Sources with Biased LabelsRenat Sergazinov; Richard Chen; Cheng Ji; Jing Wu; Daniel Cociorva; Hakan Brunzell2025
Know2Vec: A Black-Box Proxy for Neural Network RetrievalZhuoyi Shang; Yanwei Liu; Jinxia Liu; Xiaoyan Gu; Ying Ding; Xiangyang Ji2025
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm IdentificationYuming Shao; Zhixuan Fang2025
Offline-to-Online Hyperparameter Transfer for Stochastic BanditsDravyansh Sharma; Arun Suggala2025
Boosting Test Performance with Importance Sampling-a Subpopulation PerspectiveHongyu Shen; Zhizhen Zhao2025
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space ModelsShuaijie Shen; Chao Wang; Renzhuo Huang; Yan Zhong; Qinghai Guo; Zhichao Lu; Jianguo Zhang; Luziwei Leng2025
Label-Free Backdoor Attacks in Vertical Federated LearningWei Shen; Wenke Huang; Guancheng Wan; Mang Ye2025
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain AlignmentXiao Shen; Zhihao Chen; Shirui Pan; Shuang Zhou; Laurence T. Yang; Xi Zhou2025
LazyDiT: Lazy Learning for the Acceleration of Diffusion TransformersXuan Shen; Zhao Song; Yufa Zhou; Bo Chen; Yanyu Li; Yifan Gong; Kai Zhang; Hao Tan; Jason Kuen; Henghui Ding; Zhihao Shu; Wei Niu; Pu Zhao; Yanzhi Wang; Jiuxiang Gu2025
Numerical Pruning for Efficient Autoregressive ModelsXuan Shen; Zhao Song; Yufa Zhou; Bo Chen; Jing Liu; Ruiyi Zhang; Ryan A. Rossi; Hao Tan; Tong Yu; Xiang Chen; Yufan Zhou; Tong Sun; Pu Zhao; Yanzhi Wang; Jiuxiang Gu2025
Protecting Model Adaptation from Trojans in the Unlabeled DataLijun Sheng; Jian Liang; Ran He; Zilei Wang; Tieniu Tan2025
Stop Diverse OOD Attacks: Knowledge Ensemble for Reliable DefenseZhenbo Shi; Xiaoman Liu; Yuxuan Zhang; Shuchang Wang; Rui Shu; Zhidong Yu; Wei Yang; Liusheng Huang2025
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-LikelihoodYuta Shikuri2025
Replication-proof Bandit Mechanism Design with Bayesian AgentsSuho Shin; Seyed A. Esmaeili; MohammadTaghi Hajiaghayi2025
Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree ViewpointYong-Min Shin; Siqing Li; Xin Cao; Won-Yong Shin2025
TinySAM: Pushing the Envelope for Efficient Segment Anything ModelHan Shu; Wenshuo Li; Yehui Tang; Yiman Zhang; Yihao Chen; Houqiang Li; Yunhe Wang; Xinghao Chen2025
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document ClusteringZhenqiu Shu; Teng Sun; Yunwei Luo; Zhengtao Yu2025
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent FiguresShreya Shukla; Nakul Sharma; Manish Gupta; Anand Mishra2025
Co-Dream: Collaborative Dream Synthesis over Decentralized ModelsAbhishek Singh; Gauri Gupta; Yichuan Shi; Alex Dang; Ritvik Kapila; Sheshank Shankar; Mohammed Ehab; Ramesh Raskar2025
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)Kartik Singhal; Gautam Shroff2025
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