Papers
Participation Incentives in Approval-Based Committee Elections
Martin Bullinger, Chris Dong, Patrick Lederer et al.
Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)
Boshen Yan, Guihong Wan, Haim Schweitzer et al.
Patch-Aware Sample Selection for Efficient Masked Image Modeling
Zhengyang Zhuge, Jiaxing Wang, Yong Li et al.
patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds
Zirui Pan, Mengbai Xiao, Xu Han et al.
Patched Line Segment Learning for Vector Road Mapping
Jiakun Xu, Bowen Xu, Gui-Song Xia et al.
Patch-Wise Graph Contrastive Learning for Image Translation
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
PathAsst: A Generative Foundation AI Assistant towards Artificial General Intelligence of Pathology
Yuxuan Sun, Chenglu Zhu, Sunyi Zheng et al.
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths
Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
Huayu Mai, Rui Sun, Yuan Wang et al.
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.