会议文集


文集名AAAI Technical Tracks (Machine Learning III)
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17-2》
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358206


题名作者出版年
TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model AgentsGeon Lee; Wenchao Yu; Kijung Shin; Wei Cheng; Haifeng Chen2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model AccuracyGeonho Lee; Janghwan Lee; Sukjin Hong; Minsoo Kim; Euijai Ahn; Du-Seong Chang; Jungwook Choi2025
HYBOOD: A Hybrid Generative Model for Out-of-Distribution Detection with Corruption EstimationGiwoong Lee; Jiseung Ahn; Jeongyeol Choe2025
Fourier Guided Adaptive Adversarial Augmentation for Generalization in Visual Reinforcement LearningJeong Woon Lee; Hyoseok Hwang2025
DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain GeneralizationJin-Seop Lee; Noo-ri Kim; Jee-Hyong Lee2025
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous RelaxationJunghun Lee; Hyunju Kim; Fanchen Bu; Jihoon Ko; Kijung Shin2025
Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum AlgorithmsJunyong Lee; Jeihee Cho; Shiho Kim2025
CG-TGAN: Conditional Generative Adversarial Networks with Graph Neural Networks for Tabular Data SynthesizingSeungcheol Lee; Moohong Min2025
Maximizing the Position Embedding for Vision Transformers with Global Average PoolingWonjun Lee; Bumsub Ham; Suhyun Kim2025
Learning Strategy Representation for Imitation Learning in Multi-Agent GamesShiqi Lei; Kanghoon Lee; Linjing Li; Jinkyoo Park2025
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised LearningXing Lei; Xuetao Zhang; Donglin Wang2025
Mining In-distribution Attributes in Outliers for Out-of-distribution DetectionYutian Lei; Luping Ji; Pei Liu2025
Real-Time Recurrent Reinforcement LearningJulian Lemmel; Radu Grosu2025
Towards Trustable SHAP ScoresOlivier Letoffe; Xuanxiang Huang; Joao Marques-Silva2025
Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational DataCheuk Hang Leung; Yiyan Huang; Yijun Li; Qi Wu2025
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action RecognitionBozheng Li; Mushui Liu; Gaoang Wang; Yunlong Yu2025
Unlocking Better Closed-Set Alignment Based on Neural Collapse for Open-Set RecognitionChaohua Li; Enhao Zhang; Chuanxing Geng; Songcan Chen2025
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement LearningChenglin Li; Guangchun Ruan; Hua Geng2025
FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View LearningDaoyuan Li; Zuyuan Yang; Shengli Xie2025
Marginal Benefit Driven RL Teacher for Unsupervised Environment DesignDexun Li; Wenjun Li; Pradeep Varakantham2025
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