会议文集


文集名AAAI Technical Tracks (Machine Learning VII)
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21-1》
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358213


题名作者出版年
Conditional Diffusion Models Based Conditional Independence TestingYanfeng Yang; Shuai Li; Yingjie Zhang; Zhuoran Sun; Hai Shu; Ziqi Chen; Renming Zhang2025
First-Order Federated Bilevel LearningYifan Yang; Peiyao Xiao; Shiqian Ma; Kaiyi Ji2025
Fast Multi-Instance Partial-Label LearningYin-Fang Yang; Wei Tang; Min-Ling Zhang2025
Safe Online Convex Optimization with Heavy-Tailed Observation NoisesYunhao Yang; Bo Xue; Yunzhi Hao; Ying Li; Yuanyu Wan2025
AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision TasksZekang Yang; Wang Zeng; Sheng Jin; Chen Qian; Ping Luo; Wentao Liu2025
Asynchronous Distributed Gaussian Process RegressionZewen Yang; Xiaobing Dai; Sandra Hirche2025
ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank CompressionKai Yao; Zhaorui Tan; Tiandi Ye; Lichun Li; Yuan Zhao; Wenyan Liu; Wei Wang; Jianke Zhu2025
Selective Visual Prompting in Vision MambaYifeng Yao; Zichen Liu; Zhenyu Cui; Yuxin Peng; Jiahuan Zhou2025
Continual Unsupervised Generative Modelling via Online Optimal TransportFei Ye; Adrian G. Bors; Kun Zhang2025
Dynamic Expansion Diffusion Learning for Lifelong Generative ModellingFei Ye; Adrian G. Bors; Kun Zhang2025
Lifelong Scalable Generative System via Online Maximum Mean DiscrepancyFei Ye; Adrian G. Bors2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient DescentHangyu Ye; Weiying Xie; Yunsong Li; Leyuan Fang2025
Fit and Prune: Fast and Training-free Visual Token Pruning for Multi-modal Large Language ModelsWeihao Ye; Qiong Wu; Wenhao Lin; Yiyi Zhou2025
Speed Master: Quick or Slow Play to Attack Speaker RecognitionZhe Ye; Wenjie Zhang; Ying Ren; Xiangui Kang; Diqun Yan; Bin Ma; Shiqi Wang2025
pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated LearningLiping Yi; Han Yu; Chao Ren; Gang Wang; Xiaoguang Liu; Xiaoxiao Li2025
Reducing Divergence in Batch Normalization for Domain AdaptationEllen Yi-Ge; Mingjing Wu; Zhenghan Chen2025
Synergy of GFlowNet and Protein Language Model Makes a Diverse Antibody DesignerMingze Yin; Hanjing Zhou; Yiheng Zhu; Jialu Wu; Wei Wu; Mingyang Li; Kun Fu; Zheng Wang; Chang-Yu Hsieh; Tingjun Hou; Jian Wu2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series ForecastingTianyi Yin; Jingwei Wang; Yunlong Ma; Han Wang; Chenze Wang; Yukai Zhao; Min Liu; Weiming Shen2025
Exploring the Better Multimodal Synergy Strategy for Vision-Language ModelsXiaotian Yin; Xin Liu; Si Chen; Yuan Wang; Yuwen Pan; Tianzhu Zhang2025
In-Context Policy Adaptation via Cross-Domain Skill DiffusionMinjong Yoo; Woo Kyung Kim; Honguk Woo2025
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