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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19-1》
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358209


题名作者出版年
Learning Set Functions with Implicit DifferentiationGozde Ozcan; Chengzhi Shi; Stratis Ioannidis2025
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature SelectionHanlin Pan; Kunpeng Liu; Wanfu Gao2025
Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy DataWeiran Pan; Wei Wei; Feida Zhu; Yong Deng2025
Federated Unlearning with Gradient Descent and Conflict MitigationZibin Pan; Zhichao Wang; Chi Li; Kaiyan Zheng; Boqi Wang; Xiaoying Tang; Junhua Zhao2025
Two-Timescale Critic-Actor for Average Reward MDPs with Function ApproximationPrashansa Panda; Shalabh Bhatnagar2025
Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language ModelsJean Park; Kuk Jin Jang; Basam Alasaly; Sriharsha Mopidevi; Andrew Zolensky; Eric Eaton; Insup Lee; Kevin Johnson2025
Deep Disentangled Metric LearningJinhee Park; Jisoo Park; Dagyeong Na; Junseok Kwon2025
Riemannian Geometric-based Meta LearningJuneYoung Park; YuMi Lee; Tae-Joon Kim; Jang-Hwan Choi2025
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient OptimizationKwangryeol Park; Seulki Lee2025
Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter TuningDanni Peng; Yuan Wang; Huazhu Fu; Jinpeng Jiang; Yong Liu; Rick Siow Mong Goh; Qingsong Wei2025
BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal RepresentationHaotian Peng; Jiawei Liu; Jinsong Du; Jie Gao; Wei Wang2025
SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive LearningTianhao Peng; Xuhong Li; Haitao Yuan; Yuchen Li; Haoyi Xiong2025
Qsco: A Quantum Scoring Module for Open-Set Supervised Anomaly DetectionYifeng Peng; Xinyi Li; Zhiding Liang; Ying Wang2025
Open-Set Heterogeneous Domain Adaptation: Theoretical Analysis and AlgorithmThai-Hoang Pham; Yuanlong Wang; Changchang Yin; Xueru Zhang; Ping Zhang2025
In-depth Analysis of Low-rank Matrix Factorisation in a Federated SettingConstantin Philippenko; Kevin Scaman; Laurent Massoulie2025
TinySubNets: An Efficient and Low Capacity Continual Learning StrategyMarcin Pietron; Kamil Faber; Dominik Zurek; Roberto Corizzo2025
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational PosteriorsWasu Top Piriyakulkij; Yingheng Wang; Volodymyr Kuleshov2025
Iterative Counterfactual Data AugmentationMitchell Plyler; Min Chi2025
On Corruption-Robustness in Performative Reinforcement LearningVasilis Pollatos; Debmalya Mandal; Goran Radanovic2025
Federated Unsupervised Domain Generalization Using Global and Local Alignment of GradientsFarhad Pourpanah; Mahdiyar Molahasani; Milad Soltany; Michael Greenspan; Ali Etemad2025
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