Papers
CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins
Sukanya Mandal, Noel E. O'Connor
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation
Zhongying Zhao, Jinyu Zhang, Chuanxu Jia et al.
Co-Learning of Strategy and Structure Achieves Full Cooperation in Complex Networks with Dynamical Linking
Xiaoqing Fan, Chin-wing Leung, Paolo Turrini
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
Li Yuan, Yi Cai, Xudong Shen et al.
COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement
Zhihao Sui, Liang Hu, Jian Cao et al.
Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games
Yoram Bachrach, Edan Toledo, Karen Hambardzumyan et al.
Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling
Zun Li, Marc Lanctot, Kevin R. McKee et al.
Combining MORL with Restraining Bolts to Learn Normative Behaviour
Emery A. Neufeld, Agata Ciabattoni, Radu Florin Tulcan
Coming Out of the Dark: Human Pose Estimation in Low-light Conditions
Yong Su, Defang Chen, Meng Xing et al.
Community-Aware Graph Transformer for Brain Disorder Identification
Shengbing Pei, Jiajun Ma, Zhao Lv et al.
CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation
Zhejing Hu, Yan Liu, Gong Chen et al.
Comprehensive Review of Neural Differential Equations for Time Series Analysis
YongKyung Oh, Seungsu Kam, Jonghun Lee et al.
Concentrate on Weakness: Mining Hard Prototypes for Few-Shot Medical Image Segmentation
Jianchao Jiang, Haofeng Zhang
Concurrent Planning and Execution Using Dispatch-Dependent Values
Andrew Coles, Erez Karpas, Eyal Shimony et al.
Conditional Causal Representation Learning for Heterogeneous Single-cell RNA Data Integration and Prediction
Jiayi Dong, Jiahao Li, Fei Wang
Conditional Denoising Meets Polynomial Modeling: A Flexible Decoupled Framework for Time Series Forecasting
Jintao Zhang, Mingyue Cheng, Xiaoyu Tao et al.
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning
Hongbin Zhang, Kezhou Chen, Nankai Lin et al.
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
Xinhui Li, Liang Duan, Lixing Yu et al.
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)
Juhani Kivimäki, Jakub Białek, Jukka K. Nurminen et al.
Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning
Hao Tang, Shengfeng He, Jing Qin
Connector-S: A Survey of Connectors in Multi-modal Large Language Models
Xun Zhu, Zheng Zhang, Xi Chen et al.
Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning
Qian Liu, Huibing Wang, Jinjia Peng et al.
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Shubin Ma, Liang Zhao, Mingdong Lu et al.
Constrained Preferential Bayesian Optimization and Its Application in Banner Ad Design
Koki Iwai, Yusuke Kumagae, Yuki Koyama et al.