Papers
Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
Kang You, Kai Liu, Li Yu et al.
PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models
Jinmeng Wu, Chong Cao, Hao Zhang et al.
Policy Space Response Oracles: A Survey
Ariyan Bighashdel, Yongzhao Wang, Stephen McAleer et al.
Polynomial Time Presolve Algorithms for Rotation-Based Models Solving the Robust Stable Matching Problem
Sulian Le Bozec-Chiffoleau, Charles Prud'homme, Gilles Simonin
Population-Based Diverse Exploration for Sparse-Reward Multi-Agent Tasks
Pei Xu, Junge Zhang, Kaiqi Huang
PoRank: A Practical Framework for Learning to Rank Policies
Pengjie Gu, Mengchen Zhao, Xu He et al.
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
Shixuan Fan, Wei Wei, Wendi Li et al.
POWL: Partially Ordered Workflow Language (Extended Abstract)
Humam Kourani, Sebastiaan van Zelst
PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation
Deyi Ji, Wenwei Jin, Hongtao Lu et al.
Practical Anytime Algorithms for Judicious Partitioning of Active Directory Attack Graphs
Yumeng Zhang, Max Ward, Hung Nguyen
Practical Hybrid Gradient Compression for Federated Learning Systems
Sixu Hu, Linshan Jiang, Bingsheng He
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search
Tianle Zhang, Yanghao Zhang, Ronghui Mu et al.
Predicting Carpark Availability in Singapore with Cross-Domain Data: A New Dataset and A Data-Driven Approach
Huaiwu Zhang, Yutong Xia, Siru Zhong et al.
Predicting Housing Transaction with Common Covariance GNNs
Jinjin Li, Bin Liu, Chengyan Liu et al.
Predictive Accuracy-Based Active Learning for Medical Image Segmentation
Jun Shi, Shulan Ruan, Ziqi Zhu et al.
Predictive Modeling with Temporal Graphical Representation on Electronic Health Records
Jiayuan Chen, Changchang Yin, Yuanlong Wang et al.
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
Xi Chen, Chuan Qin, Zhigaoyuan Wang et al.
Preferred Reasoning in ABA by Cycle-Breaking
Kiet Nguyen Anh, Markus Ulbricht
Pre-training General User Representation with Multi-type APP Behaviors
Yuren Zhang, Min Hou, Kai Zhang et al.
Primal Grammars Driven Automated Induction
Adel Bouhoula, Miki Hermann
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
Xikun Jiang, He Lyu, Chenhao Ying et al.
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds
Zehan Zhu, Yan Huang, Xin Wang et al.
Probabilistically Robust Watermarking of Neural Networks
Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin et al.
Probabilistic Contrastive Learning for Domain Adaptation
Junjie Li, Yixin Zhang, Zilei Wang et al.