Papers
Pay to (Not) Play: Monetizing Impatience in Mobile Games
Taylor Lundy, Narun Raman, Hu Fu et al.
PC-Conv: Unifying Homophily and Heterophily with Two-Fold Filtering
Bingheng Li, Erlin Pan, Zhao Kang
PCE-Palm: Palm Crease Energy Based Two-Stage Realistic Pseudo-Palmprint Generation
Jianlong Jin, Lei Shen, Ruixin Zhang et al.
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
Yige Yuan, Bingbing Xu, Bo Lin et al.
Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations
Cedric Derstroff, Mattia Cerrato, Jannis Brugger et al.
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization
Adam Richardson, Boi Faltings
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
Liang Dai, Kejie Lyu, Chengcheng Zhang et al.
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search
Dixi Yao, Baochun Li
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts
Kun Jin, Tongxin Yin, Zhongzhu Chen et al.
Permutation-Based Hypothesis Testing for Neural Networks
Francesca Mandel, Ian Barnett
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
Yihao Huang, Felix Juefei-Xu, Qing Guo et al.
Personalized LoRA for Human-Centered Text Understanding
You Zhang, Jin Wang, Liang-Chih Yu et al.
Personalized Reinforcement Learning with a Budget of Policies
Dmitry Ivanov, Omer Ben-Porat
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off
Yu-An Liu, Ruqing Zhang, Mingkun Zhang et al.
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
Taicai Chen, Yue Duan, Dong Li et al.
Pharmacokinetics-Informed Neural Network for Predicting Opioid Administration Moments with Wearable Sensors
Bhanu Teja Gullapalli, Stephanie Carreiro, Brittany P Chapman et al.
PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer
Wenting Cui, Runzhao Yao, Shaoyi Du
Phoneme Hallucinator: One-Shot Voice Conversion via Set Expansion
Siyuan Shan, Yang Li, Amartya Banerjee et al.
Physics-Informed Graph Neural Networks for Water Distribution Systems
Inaam Ashraf, Janine Strotherm, Luca Hermes et al.
Physics-Informed Representation and Learning: Control and Risk Quantification
Zhuoyuan Wang, Reece Keller, Xiyu Deng et al.
PICNN: A Pathway towards Interpretable Convolutional Neural Networks
Wengang Guo, Jiayi Yang, Huilin Yin et al.
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
Eric Enouen, Sebastian Caldas, Mononito Goswami et al.
Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks
Thomas Krapf, Michael Hagn, Paul Miethaner et al.
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu, Xinyun Zhang, Peng Xu et al.
Plug-In Diffusion Model for Sequential Recommendation
Haokai Ma, Ruobing Xie, Lei Meng et al.