Papers
PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer
Xiaoshui Huang, Tianlin Zhu, Yifan Zuo et al.
Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering
Yang Deng, Zhanke Wang, Jiahao Wu et al.
PanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory
Qunchao Jin, Yilin Wu, Changhao Chen
Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset
Songcheng Du, Yang Zou, Jiaxin Li et al.
PANSim: Visualization Tool for Planning and Acting against Nature
Erol Medenčević, Jakub Med, Lukáš Chrpa
Paper Folding Puzzles: Can Multimodal Large Language Models Perform Spatial Reasoning?
Dibin Zhou, Yantao Xu, Zongming Huang et al.
ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models
Zhixin Ou, Peng Liang, Linbo Qiao et al.
Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization
Xin Chen, Chunfeng Cui, Deren Han et al.
Parallel Training Time-to-First-Spike Spiking Neural Networks
Kaiwei Che, Wei Fang, Peng Xue et al.
ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech
Haowei Lou, Hye-young Paik, Wen Hu et al.
Parameter-Free Clustering via Self-Supervised Consensus Maximization
Lijun Zhang, Suyuan Liu, Siwei Wang et al.
Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models
Jiahuan Long, Tingsong Jiang, Wen Yao et al.
Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning
Ankur Naskar, Gugan Thoppe, Vijay Gupta
Parameterized Abstract Interpretation for Transformer Verification
Pei Huang, Dennis Wei, Omri Isac et al.
Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation
Haiming Yao, Wei Luo, Qiyu Chen et al.
Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning
Benliu Qiu, Heqian Qiu, Lanxiao Wang et al.
Parametric Pareto Set Learning for Expensive Multi-Objective Optimization
Ji Cheng, Bo Xue, Qingfu Zhang
Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs
Wenrui Zhao, Yijun Tian, Zhichao Xu et al.
Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization
Ha Minh Hieu, Hung Phan, Tung Duy Doan et al.
ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data
Haoran Gu, Handing Wang, Yi Mei et al.
PARS: Partial-Label-Learning-inspired Recommender Systems
Shanshan Ye, Kezhi Lu, Guangquan Zhang et al.
Partial Action Replacement: Tackling Distribution Shift in Offline MARL
Yue Jin, Giovanni Montana
Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents
Xinpeng Lv, Chunyuan Zheng, Yunxin Mao et al.
Partially Shared Concept Bottleneck Models
Delong Zhao, Qiang Huang, Di Yan et al.
PartialNet: Compute Less, Perform Better
Haiduo Huang, Tian Xia, Wenzhe Zhao et al.