AAAI Papers

Plug-In Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng et al.

PMAC: Personalized Multi-Agent Communication

PMET: Precise Model Editing in a Transformer

Xiaopeng Li, Shasha Li, Shezheng Song et al.

PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation

Yiying Yang, Fukun Yin, Wen Liu et al.

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping

Jiafu Chen, Wei Xing, Jiakai Sun et al.

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Yuecen Wei, Haonan Yuan, Xingcheng Fu et al.

Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition

Hanxuan Li, Bin Fu, Ruiping Wang et al.

Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection

Kaiyi Zhang, Yang Chen, Ximing Yang et al.

Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis

Xingyilang Yin, Xi Yang, Liangchen Liu et al.

PointPatchMix: Point Cloud Mixing with Patch Scoring

Yi Wang, Jiaze Wang, Jinpeng Li et al.

Point-PEFT: Parameter-Efficient Fine-Tuning for 3D Pre-trained Models

Yiwen Tang, Ray Zhang, Zoey Guo et al.

Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification

Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.

Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images

Bao Li, Zhenyu Liu, Lizhi Shao et al.

Polyper: Boundary Sensitive Polyp Segmentation

Hao Shao, Yang Zhang, Qibin Hou

PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning

Jizhou Wu, Jianye Hao, Tianpei Yang et al.

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang et al.

PoseGen: Learning to Generate 3D Human Pose Dataset with NeRF

Mohsen Gholami, Rabab Ward, Z. Jane Wang

PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation

Yue-Jiang Dong, Yuan-Chen Guo, Ying-Tian Liu et al.

PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning

Yuting Ma, Yuanzhi Yao, Xiaohua Xu

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang et al.

Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning

PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation

Siyuan Hu, Zheng Wang, Peng Hu et al.

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Wenbo Wang, Bingquan Liu, Lili Shan et al.

Preference Ranking Optimization for Human Alignment

Feifan Song, Bowen Yu, Minghao Li et al.

PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine

Chenrui Zhang, Lin Liu, Chuyuan Wang et al.

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.

Primitive-Based 3D Human-Object Interaction Modelling and Programming

Siqi Liu, Yong-Lu Li, Zhou FANG et al.

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

Principle Component Trees and Their Persistent Homology

Ben Kizaric, Daniel Pimentel-Alarcon

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.

Privacy Amplification by Iteration for ADMM with (Strongly) Convex Objective Functions

T-H. Hubert Chan, Hao Xie, Mengshi ZHAO

Privileged Prior Information Distillation for Image Matting

Cheng Lyu, Jiake Xie, Bo Xu et al.

ProAgent: Building Proactive Cooperative Agents with Large Language Models

Ceyao Zhang, Kaijie Yang, Siyi Hu et al.

Probabilistic Neural Circuits

Pedro Zuidberg Dos Martires

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

Probabilities of Causation with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation

Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai et al.

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning

Fushuo Huo, Wenchao Xu, Song Guo et al.

Procedural Level Generation with Diffusion Models from a Single Example

Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, Yujie Chen, Jun Xue et al.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Jingxuan He, Lechao Cheng, Chaowei Fang et al.

Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation

Ge Meng, Jingjia Huang, Yingying Wang et al.

Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process

Xufeng Yao, Fanbin Lu, Yuechen Zhang et al.

Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles

Progressive Poisoned Data Isolation for Training-Time Backdoor Defense

Yiming Chen, Haiwei Wu, Jiantao Zhou

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

Project-Fair and Truthful Mechanisms for Budget Aggregation

Rupert Freeman, Ulrike Schmidt-Kraepelin

Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation

Shuanghao Bai, Min Zhang, Wanqi Zhou et al.