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• Relational Neurosymbolic Markov Models

  Lennert De Smet, Gabriele Venturato, Luc De Raedt, Giuseppe Marra

  16181-16189

  2025-04-11

• Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback

  Riccardo Della Vecchia, Debabrota Basu

  16190-16198

  2025-04-11

• THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings

  Bowen Deng, Tong Wang, Lele Fu, Sheng Huang, Chuan Chen, Tao Zhang

  16199-16207

  2025-04-11

• Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization

  Jiaxin Deng, Junbiao Pang, Baochang Zhang, Guodong Guo

  16208-16216

  2025-04-11

• Expected Hypervolume Improvement Is a Particular Hypervolume Improvement

  Jingda Deng, Jianyong Sun, Qingfu Zhang, Hui Li

  16217-16225

  2025-04-11

• VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers

  Juncan Deng, Shuaiting Li, Zeyu Wang, Hong Gu, Kedong Xu, Kejie Huang

  16226-16234

  2025-04-11

• Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers

  Qi Deng, Shuaicheng Niu, Ronghao Zhang, Yaofo Chen, Runhao Zeng, Jian Chen, Xiping Hu

  16235-16243

  2025-04-11

• Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data

  Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, Jie Shao

  16244-16252

  2025-04-11

• Enhancing Multimodal Affective Analysis with Learned Live Comment Features

  Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown

  16253-16261

  2025-04-11

• The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training

  Joshua DeOliveira, Walter Gerych, Elke Rundensteiner

  16262-16270

  2025-04-11

• Attribute Inference Attacks for Federated Regression Tasks

  Francesco Diana, Othmane Marfoq, Chuan Xu, Giovanni Neglia, Frédéric Giroire, Eoin Thomas

  16271-16279

  2025-04-11

• How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?

  Wenjun Ding, Ying An, Lixing Chen, Shichao Kan, Fan Wu, Zhe Qu

  16280-16288

  2025-04-11

• Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation

  Yanna Ding, Zijie Huang, Xiao Shou, Yihang Guo, Yizhou Sun, Jianxi Gao

  16289-16297

  2025-04-11

• Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks

  Bao Gia Doan, Afshar Shamsi, Xiao-Yu Guo, Arash Mohammadi, Hamid Alinejad-Rokny, Dino Sejdinovic, Damien Teney, Damith C. Ranasinghe, Ehsan Abbasnejad

  16298-16307

  2025-04-11

• Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments

  Marharyta Domnich, Julius Välja, Rasmus Moorits Veski, Giacomo Magnifico, Kadi Tulver, Eduard Barbu, Raul Vicente

  16308-16316

  2025-04-11

• Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling

  Jinzong Dong, Zhaohui Jiang, Dong Pan, Haoyang Yu

  16317-16326

  2025-04-11

• ParZC: Parametric Zero-Cost Proxies for Efficient NAS

  Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Zimian Wei, Qiang Wang, Xiaowen Chu

  16327-16335

  2025-04-11

• Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games

  Shaokang Dong, Chao Li, Shangdong Yang, Hongye Cao, Wanqi Yang, Yang Gao

  16336-16344

  2025-04-11

• DCILP: A Distributed Approach for Large-Scale Causal Structure Learning

  Shuyu Dong, Michele Sebag, Kento Uemura, Akito Fujii, Shuang Chang, Yusuke Koyanagi, Koji Maruhashi

  16345-16353

  2025-04-11

• AtomNet: Designing Tiny Models from Operators Under Extreme MCU Constraints

  Zhiwei Dong, Mingzhu Shen, Shihao Bai, Xiuying Wei, Jinyang Guo, Ruihao Gong, Song-Lu Chen, Xianglong Liu, Xu-Cheng Yin

  16354-16362

  2025-04-11

• On the Hardness of Training Deep Neural Networks Discretely

  Ilan Doron-Arad

  16363-16371

  2025-04-11

• Rebalancing Multi-Label Class-Incremental Learning

  Kaile Du, Yifan Zhou, Fan Lyu, Yuyang Li, Junzhou Xie, Yixi Shen, Fuyuan Hu, Guangcan Liu

  16372-16380

  2025-04-11

• Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization

  Liang Du, Henghui Jiang, Xiaodong Li, Yiqing Guo, Yan Chen, Feijiang Li, Peng Zhou, Yuhua Qian

  16381-16388

  2025-04-11

• OpenViewer: Openness-Aware Multi-View Learning

  Shide Du, Zihan Fang, Yanchao Tan, Changwei Wang, Shiping Wang, Wenzhong Guo

  16389-16397

  2025-04-11

• Contrastive Auxiliary Learning with Structure Transformation for Heterogeneous Graphs

  Wei Du, Hongmin Sun, Hang Gao, Gaoyang Li, Ying Li

  16399-16407

  2025-04-11