Papers
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
Chengyang Ying, Zhongkai Hao, Xinning Zhou et al.
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma, Yi Chen, Sui Jiet Tay et al.
Pedestrian-Centric 3D Pre-collision Pose and Shape Estimation from Dashcam Perspective
Meijun Wang, Yu Meng, Zhongwei Qiu et al.
Pedestrian Trajectory Prediction with Missing Data: Datasets, Imputation, and Benchmarking
Pranav Singh Chib, Pravendra Singh
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications
Dingkang Yang, Jinjie Wei, Dongling Xiao et al.
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds
Pengyu Chen, Xu Shi, Rujun Jiang et al.
Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers
Markus Hiller, Krista A. Ehinger, Tom Drummond
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
Zhihua Wen, Zhiliang Tian, Zexin Jian et al.
Perceptual Fairness in Image Restoration
Guy Ohayon, Michael Elad, Tomer Michaeli
PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator
Hanshu Yan, Xingchao Liu, Jiachun Pan et al.
Performative Control for Linear Dynamical Systems
Songfu Cai, Fei Han, Xuanyu Cao
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
Fei Ni, Jianye Hao, Shiguang Wu et al.
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis
Qiang Wu, Gechang Yao, Zhixi Feng et al.
Periodic agent-state based Q-learning for POMDPs
Amit Sinha, Matthieu Geist, Aditya Mahajan
Perplexity-aware Correction for Robust Alignment with Noisy Preferences
Keyi Kong, Xilie Xu, Di Wang et al.
Persistence Homology Distillation for Semi-supervised Continual Learning
Yan Fan, Yu Wang, Pengfei Zhu et al.
Persistent Homology for High-dimensional Data Based on Spectral Methods
Sebastian Damrich, Philipp Berens, Dmitry Kobak
Persistent Test-time Adaptation in Recurring Testing Scenarios
Trung-Hieu Hoang, Duc Minh Vo, Minh N. Do
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models
Shengchao Chen, Guodong Long, Jing Jiang et al.
Personalized Federated Learning via Feature Distribution Adaptation
Connor J. McLaughlin, Lili Su
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning
Pouya M. Ghari, Yanning Shen
Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
Luca Barsellotti, Roberto Bigazzi, Marcella Cornia et al.
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
Yuanpu Cao, Tianrong Zhang, Bochuan Cao et al.
Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning
Sriyash Poddar, Yanming Wan, Hamish Ivison et al.
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
Lemei Zhang, Peng Liu, Marcus Tiedemann Oekland Henriksboe et al.