Papers
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
Siyuan Chen, Zhuofeng Wang, Zelong Guan et al.
PRAGA: Prototype-aware Graph Adaptive Aggregation for Spatial Multi-modal Omics Analysis
Xinlei Huang, Zhiqi Ma, Dian Meng et al.
Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views
Songchun Zhang, Chunhui Zhao
Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs
Shinwoo An, Yeonsu Chang, Kyungjin Cho et al.
PrecipDiff: Leveraging Image Diffusion Models to Enhance Satellite-Based Precipitation Observations
Ting-Yu Dai, Hayato Ushijima-Mwesigwa
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
Yuxiao Wang, Wenpeng Neng, Zhenao Wei et al.
Predicting the Original Appearance of Damaged Historical Documents
Zhenhua Yang, Dezhi Peng, Yongxin Shi et al.
Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts
Yunpeng Song, Jiawei Li, Yiheng Bian et al.
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
Prediction-Feedback DETR for Temporal Action Detection
Jihwan Kim, Miso Lee, Cheol-Ho Cho et al.
Predictive Modeling of Homeless Service Assignment: A Representation Learning Approach
Khandker Sadia Rahman, Charalampos Chelmis
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models
Yuchen Fan, Yuzhong Hong, Qiushi Wang et al.
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)
Tianyu Zhan, Zheqi Lv, Shengyu Zhang et al.
Pre-trained Behavioral Model for Malicious User Prediction on Social Platform
Meng Jiang, Wenjie Wang, Shaofeng Hu et al.
Pre-Trained Vision-Language Models as Noisy Partial Annotators
Qian-Wei Wang, Yuqiu Xie, Letian Zhang et al.
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation
Xiaoqi An, Lin Zhao, Chen Gong et al.
Pre-Training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
Van Thuy Hoang, O-Joun Lee
PriFold: Biological Priors Improve RNA Secondary Structure Predictions
Chenchen Yang, Hao Wu, Tao Shen et al.
Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery
Menglin Wang, Zhun Zhong, Xiaojin Gong
Prior-guided Hierarchical Harmonization Network for Efficient Image Dehazing
Xiongfei Su, Siyuan Li, Yuning Cui et al.
PRIORITY2REWARD: Incorporating Healthworker Preferences for Resource Allocation Planning
Shresth Verma, Alayna Nguyen, Niclas Boehmer et al.
Privacy-and-Utility-Aware Publishing of Schedules
Maike Basmer, Stephan A. Fahrenkrog-Petersen, Ali Kaan Tutak et al.
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models
Zihao Luo, Xilie Xu, Feng Liu et al.
Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators
Bin Lu, Xinyu Xiao, Changzhou Zhang et al.