Papers
PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space
Shiyao Yan, Zequn Zhang, Xian Sun et al.
Polygon-to-Polygon Distance Loss for Rotated Object Detection
Yang Yang, Jifeng Chen, Xiaopin Zhong et al.
Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction
Ta-Ying Cheng, Hsuan-Ru Yang, Niki Trigoni et al.
Pose-Guided Feature Disentangling for Occluded Person Re-identification Based on Transformer
Tao Wang, Hong Liu, Pinhao Song et al.
Pose Guided Image Generation from Misaligned Sources via Residual Flow Based Correction
Jiawei Lu, He Wang, Tianjia Shao et al.
Pose-Invariant Face Recognition via Adaptive Angular Distillation
Zhenduo Zhang, Yongru Chen, Wenming Yang et al.
PosterBot: A System for Generating Posters of Scientific Papers with Neural Models
Sheng Xu, Xiaojun Wan
Post-OCR Document Correction with Large Ensembles of Character Sequence-to-Sequence Models
Juan Antonio Ramirez-Orta, Eduardo Xamena, Ana Maguitman et al.
Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily
Tao Wang, Di Jin, Rui Wang et al.
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
Ran Tao, Han Zhang, Yutong Zheng et al.
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs
Mingyu Guo, Jialiang Li, Aneta Neumann et al.
Predicting Above-Sentence Discourse Structure Using Distant Supervision from Topic Segmentation
Patrick Huber, Linzi Xing, Giuseppe Carenini
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
Dusan Grujicic, Thierry Deruyttere, Marie-Francine Moens et al.
Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract)
Joseph Kitzhaber, Ashlyn Trapp, James Beck et al.
Predicting the Influence of Fake and Real News Spreaders (Student Abstract)
Amy Zhang, Aaron Brookhouse, Daniel Hammer et al.
Predictive Maintenance for General Aviation Using Convolutional Transformers
Hong Yang, Aidan LaBella, Travis Desell
Predictive Student Modelling in an Online Reading Platform
Effat Farhana, Teomara Rutherford, Collin F. Lynch
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks
Seungyong Moon, Gaon An, Hyun Oh Song
PrEF: Probabilistic Electricity Forecasting via Copula-Augmented State Space Model
Zhiyuan Wang, Xovee Xu, Goce Trajcevski et al.
Preparing High School Teachers to Integrate AI Methods into STEM Classrooms
Irene Lee, Beatriz Perret
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Xuan Gong, Abhishek Sharma, Srikrishna Karanam et al.
Pretrained Cost Model for Distributed Constraint Optimization Problems
Yanchen Deng, Shufeng Kong, Bo An
Prevailing in the Dark: Information Walls in Strategic Games
Pavel Naumov, Wenxuan Zhang
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning
Linhang Cai, Zhulin An, Chuanguang Yang et al.
Prior-Guided Transfer Learning for Enhancing Item Representation in E-commerce
Heng-Yi Li, Yabo Ni, Anxiang Zeng et al.