Papers

575,626 papers

Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning

Anish Dhir, Cristiana Diaconu, Valentinian Mihai Lungu, James Requeima, Richard E. Turner et al.

2025-07-07Meta-LearningBayesian InferenceCausal Inference

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RIPE: Reinforcement Learning on Unlabeled Image Pairs for Robust Keypoint Extraction

Johannes Künzel, Anna Hilsmann, Peter Eisert

2025-07-07

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Spatial and Semantic Embedding Integration for Stereo Sound Event Localization and Detection in Regular Videos

Davide Berghi, Philip J. B. Jackson

2025-07-07Sound Event Localization and Detection

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FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift

Yong Zhang, Feng Liang, Guanghu Yuan, Min Yang, Chengming Li et al.

2025-07-07Federated Learning

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Kalman Filter Aided Federated Koopman Learning

Yutao Chen, Wei Chen

2025-07-07Federated Learning

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High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction

Zehuan Chen, Xiangwei Lai

2025-07-07Prediction

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Interest Networks (iNETs) for Cities: Cross-Platform Insights and Urban Behavior Explanations

Gustavo H. Santos, Myriam Delgado, Thiago H. Silva

2025-07-07Explainable RecommendationRecommendation Systems

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The Extended SONICOM HRTF Dataset and Spatial Audio Metrics Toolbox

Katarina C. Poole, Julie Meyer, Vincent Martin, Rapolas Daugintis, Nils Marggraf-Turley et al.

2025-07-07

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A Federated Learning-based Lightweight Network with Zero Trust for UAV Authentication

Hao Zhang, Fuhui Zhou, Wei Wang, Qihui Wu, Chau Yuen et al.

2025-07-07Federated Learning

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SMART: Simulated Students Aligned with Item Response Theory for Question Difficulty Prediction

Alexander Scarlatos, Nigel Fernandez, Christopher Ormerod, Susan Lottridge, Andrew Lan et al.

2025-07-07

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Blind Targeting: Personalization under Third-Party Privacy Constraints

Anya Shchetkina

2025-07-07Bayesian OptimizationPrivacy Preserving

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pFedMMA: Personalized Federated Fine-Tuning with Multi-Modal Adapter for Vision-Language Models

Sajjad Ghiasvand, Mahnoosh Alizadeh, Ramtin Pedarsani

2025-07-07Personalized Federated LearningFederated Learning

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Adversarial Machine Learning Attacks on Financial Reporting via Maximum Violated Multi-Objective Attack

Edward Raff, Karen Kukla, Michel Benaroch, Joseph Comprix

2025-07-07

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Trojan Horse Prompting: Jailbreaking Conversational Multimodal Models by Forging Assistant Message

Wei Duan, Li Qian

2025-07-07Safety AlignmentImage Generation

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Robustifying 3D Perception through Least-Squares Multi-Agent Graphs Object Tracking

Maria Damanaki, Ioulia Kapsali, Nikos Piperigkos, Alexandros Gkillas, Aris S. Lalos et al.

2025-07-07Autonomous VehiclesObject Tracking

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Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning

Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis et al.

2025-07-07

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BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning

Thinh Dao, Dung Thuy Nguyen, Khoa D Doan, Kok-Seng Wong

2025-07-07Federated Learning

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Information-Guided Diffusion Sampling for Dataset Distillation

Linfeng Ye, Shayan Mohajer Hamidi, Guang Li, Takahiro Ogawa, Miki Haseyama et al.

2025-07-07

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OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts

Shiting Xiao, Rishabh Kabra, Yuhang Li, DongHyun Lee, Joao Carreira et al.

2025-07-07Panoptic SegmentationSemantic SegmentationImage Segmentation

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Heterogeneous User Modeling for LLM-based Recommendation

Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun et al.

2025-07-07

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