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会议文集


文集名AAAI Technical Tracks (Machine Learning I)
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10-2》
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354005


题名作者出版年
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated LearningJiayi Chen; Aidong Zhang2024
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum LearningJiayu Chen; Zelai Xu; Yunfei Li; Chao Yu; Jiaming Song; Huazhong Yang; Fei Fang; Yu Wang; Yi Wu2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated ModelsJinqian Chen; Jihua Zhu; Qinghai Zheng; Zhongyu Li; Zhiqiang Tian2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial NetworksJunjie Chen; Jiahao Li; Chen Song; Bin Li; Qingcai Chen; Hongchang Gao; Wendy Hui Wang; Zenglin Xu; Xinghua Shi2024
Efficient Algorithms for Non-gaussian Single Index Models with Generative PriorsJunren Chen; Zhaoqiang Liu2024
Audio Scanning Network: Bridging Time and Frequency Domains for Audio ClassificationLiangwei Chen; Xiren Zhou; Huanhuan Chen2024
Deep Contrastive Graph Learning with Clustering-Oriented GuidanceMulin Chen; Bocheng Wang; Xuelong Li2024
On the Unstable Convergence Regime of Gradient DescentShuo Chen; Jiaying Peng; Xiaolong Li; Yao Zhao2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process GuidanceTaicai Chen; Yue Duan; Dong Li; Lei Qi; Yinghuan Shi; Yang Gao2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy OptimizationWentse Chen; Shiyu Huang; Yuan Chiang; Tim Pearce; Wei-Wei Tu; Ting Chen; Jun Zhu2024
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN TrainingXi Chen; Chang Gao; Zuowen Wang; Longbiao Cheng; Sheng Zhou; Shih-Chii Liu; Tobi Delbruck2024
Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context VariablesYang Chen; Xiao Lin; Bo Yan; Libo Zhang; Jiamou Liu; Neset Ozkan Tan; Michael Witbrock2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data CorruptionYiding Chen; Xuezhou Zhang; Qiaomin Xie; Xiaojin Zhu2024
Progressive Poisoned Data Isolation for Training-Time Backdoor DefenseYiming Chen; Haiwei Wu; Jiantao Zhou2024
Pushing the Limit of Fine-Tuning for Few-Shot Learning: Where Feature Reusing Meets Cross-Scale AttentionYing-Yu Chen; Jun-Wei Hsieh; Xin Li; Ming-Ching Chang2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data HeterogeneityYiyue Chen; Haris Vikalo; Chianing Wang2024
TopoGCL: Topological Graph Contrastive LearningYuzhou Chen; Jose Frias; Yulia R. Gel2024
Continuous Rotation Group Equivariant Network Inspired by Neural Population CodingZhiqiang Chen; Yang Chen; Xiaolong Zou; Shan Yu2024
Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal ApproachZiliang Chen; Yongsen Zheng; Zhao-Rong Lai; Quanlong Guan; Liang Lin2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent ConfoundersDebo Cheng; Ziqi Xu; Jiuyong Li; Lin Liu; Jixue Liu; Wentao Gao; Thuc Duy Le2024
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