Papers
Proportionally Fair Matching via Randomized Rounding
Sharmila Duppala, Nathaniel Grammel, Juan Luque et al.
Proportional Representation in Practice: Quantifying Proportionality in Ordinal Elections
Tuva Bardal, Markus Brill, David McCune et al.
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow
Jumin Han, Jun-Hee Kim, Seong-Whan Lee
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Chen Feng, Ziquan Liu, Zhuo Zhi et al.
ProsodyFM: Unsupervised Phrasing and Intonation Control for Intelligible Speech Synthesis
Xiangheng He, Junjie Chen, Zixing Zhang et al.
ProsodyTalker: 3D Visual Speech Animation via Prosody Decomposition
Zonglin Li, Xiaoqian Lv, Qinglin Liu et al.
ProtCLIP: Function-Informed Protein Multi-Modal Learning
Hanjing Zhou, Mingze Yin, Wei Wu et al.
Protecting Model Adaptation from Trojans in the Unlabeled Data
Lijun Sheng, Jian Liang, Ran He et al.
ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation
Hamed Ayoobi, Nico Potyka, Francesca Toni
ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images
Hongyuan Liu, Haochen Yu, Bochao Zou et al.
ProtoOcc: Accurate, Efficient 3D Occupancy Prediction Using Dual Branch Encoder-Prototype Query Decoder
Jungho Kim, Changwon Kang, Dongyoung Lee et al.
Prototype-Guided Multimodal Relation Extraction based on Entity Attributes
Zefan Zhang, Weiqi Zhang, Yanhui Li et al.
Prototypical Calibrating Ambiguous Samples for Micro-Action Recognition
Kun Li, Dan Guo, Guoliang Chen et al.
Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition
Zesheng Liu, Qiannan Zhu, Cuiping Li et al.
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
Zhipeng Zou, Sheng Wan, Guangyu Li et al.
Provably Secure Image Robust Steganography via Cross-modal Error Correction
Yuang Qi, Kejiang Chen, Na Zhao et al.
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
Weiyu Huang, Yuezhou Hu, Guohao Jian et al.
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
Jia Wang, Liyan Zhu, Zhe Wang et al.
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
Chaofan Chen, Xiaoshan Yang, Changsheng Xu
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
Mingjing Xu, Peizhong Ju, Jia Liu et al.
PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration
Xiaoshui Huang, Zhou Huang, Yifan Zuo et al.
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction
Junliang Li, Yajun Yang, Yujia Zhang et al.
PUBLICSPEAK: Hearing the Public with a Probabilistic Framework
Tianliang Xu, Eva Maxfield Brown, Dustin Dwyer et al.
Pushing the Limits of BFP on Narrow Precision LLM Inference
Hui Wang, Yuan Cheng, Xiaomeng Han et al.
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter
Junhao Chen, Bowen Wang, Zhouqiang Jiang et al.