Papers
PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models
Peixuan Li, Pengzhou Cheng, Fangqi Li et al.
POEM: Polarization of Embeddings for Domain-Invariant Representations
Sang-Yeong Jo, Sung Whan Yoon
PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples
Shengshan Hu, Junwei Zhang, Wei Liu et al.
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem
Yan Jin, Yuandong Ding, Xuanhao Pan et al.
Point-Teaching: Weakly Semi-supervised Object Detection with Point Annotations
Yongtao Ge, Qiang Zhou, Xinlong Wang et al.
Point-to-Region Co-learning for Poverty Mapping at High Resolution Using Satellite Imagery
Zhili Li, Yiqun Xie, Xiaowei Jia et al.
Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning
Xiaoting Lyu, Yufei Han, Wei Wang et al.
PolarFormer: Multi-Camera 3D Object Detection with Polar Transformer
Yanqin Jiang, Li Zhang, Zhenwei Miao et al.
Polarization-Aware Low-Light Image Enhancement
Chu Zhou, Minggui Teng, Youwei Lyu et al.
Policy-Adaptive Estimator Selection for Off-Policy Evaluation
Takuma Udagawa, Haruka Kiyohara, Yusuke Narita et al.
Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes
Donghao Ying, Mengzi Amy Guo, Yuhao Ding et al.
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning
Weijian Liao, Zongzhang Zhang, Yang Yu
Popularizing Fairness: Group Fairness and Individual Welfare
Andrew Estornell, Sanmay Das, Brendan Juba et al.
Pose-Guided 3D Human Generation in Indoor Scene
Minseok Kim, Changwoo Kang, Jeongin Park et al.
Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation
Han Li, Bowen Shi, Wenrui Dai et al.
Positional Label for Self-Supervised Vision Transformer
Zhemin Zhang, Xun Gong
Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective
Qianqiao Liang, Mengying Zhu, Yan Wang et al.
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
Souradip Chakraborty, Amrit Singh Bedi, Pratap Tokekar et al.
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model
Maohao Shen, Yuheng Bu, Prasanna Sattigeri et al.
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
Anandsingh Chauhan, Mayank Baranwal, Ansuma Basumatary
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation
Xinting Liao, Weiming Liu, Xiaolin Zheng et al.
Practical Cross-System Shilling Attacks with Limited Access to Data
Meifang Zeng, Ke Li, Bingchuan Jiang et al.
Practical Disruption of Image Translation Deepfake Networks
Nataniel Ruiz, Sarah Adel Bargal, Cihang Xie et al.
Practical Markov Boundary Learning without Strong Assumptions
Xingyu Wu, Bingbing Jiang, Tianhao Wu et al.