Papers
Predicting the Original Appearance of Damaged Historical Documents
Zhenhua Yang, Dezhi Peng, Yongxin Shi et al.
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
Yunpeng Song, Jiawei Li, Yiheng Bian et al.
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
Prediction-Feedback DETR for Temporal Action Detection
Jihwan Kim, Miso Lee, Cheol-Ho Cho et al.
Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach
Khandker Sadia Rahman, Charalampos Chelmis
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
Yuchen Fan, Yuzhong Hong, Qiushi Wang et al.
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
Tianyu Zhan, Zheqi Lv, Shengyu Zhang et al.
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
Meng Jiang, Wenjie Wang, Shaofeng Hu et al.
Pre-Trained Vision-Language Models as Noisy Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation
Xiaoqi An, Lin Zhao, Chen Gong et al.
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang, O-Joun Lee
PriFold: Biological Priors Improve RNA Secondary Structure Predictions
Chenchen Yang, Hao Wu, Tao Shen et al.
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
Menglin Wang, Zhun Zhong, Xiaojin Gong
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing
Xiongfei Su, Siyuan Li, Yuning Cui et al.
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
Shresth Verma, Alayna Nguyen, Niclas Boehmer et al.
Privacy-and-Utility-Aware Publishing of Schedules
Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
Zihao Luo, Xilie Xu, Feng Liu et al.
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
Bin Lu, Xinyu Xiao, Changzhou Zhang et al.
Private Blotto: Viewpoint Competition with Polarized Agents
Kate Donahue, Jon Kleinberg
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System
Hao Ren, Xiao Lan, Rui Tang et al.
Proactive and Reactive Constraint Programming for Stochastic Project Scheduling with Maximal Time-Lags
Kim van den Houten, Léon Planken, Esteban Freydell et al.
Probabilistic Explanations for Linear Models
Bernardo Subercaseaux, Marcelo Arenas, Kuldeep S. Meel
Probabilistic Forecasting of Irregularly Sampled Time Series with Missing Values via Conditional Normalizing Flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Stefan Born et al.
Probabilistic Shielding for Safe Reinforcement Learning
Edwin Hamel-De le Court, Francesco Belardinelli, Alexander W. Goodall