Papers
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.
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity
Shuang Cui, Kai Han, Jing Tang et al.
Predicate Invention for Bilevel Planning
Tom Silver, Rohan Chitnis, Nishanth Kumar et al.
Predicting Perceived Music Emotions with Respect to Instrument Combinations
Viet Dung Nguyen, Quan H. Nguyen, Richard G. Freedman
Predicting Temporal Sets with Simplified Fully Connected Networks
Le Yu, Zihang Liu, Tongyu Zhu et al.
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
Xiangjie Li, Chenfei Lou, Yuchi Chen et al.
Predictive Multiplicity in Probabilistic Classification
Jamelle Watson-Daniels, David C. Parkes, Berk Ustun
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
Xinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee
Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation
Wenqing Chen, Jidong Tian, Caoyun Fan et al.
Preserve Context Information for Extract-Generate Long-Input Summarization Framework
Ruifeng Yuan, Zili Wang, Ziqiang Cao et al.