Papers
Probabilistic Feature Matching for Fast Scalable Visual Prompting
Thomas Frick, Cezary Skura, Filip M. Janicki et al.
ProMoAI: Process Modeling with Generative AI
Humam Kourani, Alessandro Berti, Daniel Schuster et al.
Prompt-enhanced Network for Hateful Meme Classification
Junxi Liu, Yanyan Feng, Jiehai Chen et al.
Prompt Learning for Generalized Vehicle Routing
Fei Liu, Xi Lin, Weiduo Liao et al.
Prompt Learning with Extended Kalman Filter for Pre-trained Language Models
Quan Li, Xike Xie, Chao Wang et al.
Proof Logging for Smart Extensional Constraints (Extended Abstract)
Matthew J. McIlree, Ciaran McCreesh
Proportion-based Sensitivity Analysis of Uncontrolled Confounding Bias in Causal Inference
Haruka Yoshida, Manabu Kuroki
Protecting Object Detection Models from Model Extraction Attack via Feature Space Coverage
Zeyu Li, Yuwen Pu, Xuhong Zhang et al.
Protecting Split Learning by Potential Energy Loss
Fei Zheng, Chaochao Chen, Lingjuan Lyu et al.
ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
Mengqi Xue, Qihan Huang, Haofei Zhang et al.
Proximal Curriculum with Task Correlations for Deep Reinforcement Learning
Georgios Tzannetos, Parameswaran Kamalaruban, Adish Singla
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning
Yiqun Chen, Hangyu Mao, Jiaxin Mao et al.
Public Event Scheduling with Busy Agents
Bo Li, Lijun Li, Minming Li et al.
Purpose Enhanced Reasoning through Iterative Prompting: Uncover Latent Robustness of ChatGPT on Code Comprehension
Yi Wang, Qidong Zhao, Dongkuan Xu et al.
Putting Back the Stops: Integrating Syntax with Neural Topic Models
Mayank Nagda, Sophie Fellenz
PyClause - Simple and Efficient Rule Handling for Knowledge Graphs
Patrick Betz, Luis Galárraga, Simon Ott et al.
PyXAI: An XAI Library for Tree-Based Models
Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis et al.
QFormer: An Efficient Quaternion Transformer for Image Denoising
Bo Jiang, Yao Lu, Guangming Lu et al.
Quality-Diversity Algorithms Can Provably Be Helpful for Optimization
Chao Qian, Ke Xue, Ren-Jian Wang
Quantitative Claim-Centric Reasoning in Logic-Based Argumentation
Markus Hecher, Yasir Mahmood, Arne Meier et al.
Quantitative Reasoning over Incomplete Abstract Argumentation Frameworks
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro et al.
R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation
Nengjun Zhu, Jieyun Huang, Jian Cao et al.
Randomized Learning-Augmented Auctions with Revenue Guarantees
Ioannis Caragiannis, Georgios Kalantzis
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Junyu Luo, Zhiping Xiao, Yifan Wang et al.