Papers
PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers
Xiaoyi Dong, Jianmin Bao, Ting Zhang et al.
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training
Zhenglun Kong, Haoyu Ma, Geng Yuan et al.
PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability
Shuqi Li, Weiheng Liao, Yuhan Chen et al.
People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User
Junjie Zhu, Lin Gu, Xiaoxiao Wu et al.
Perception for General-purpose Robot Manipulation
Karthik Desingh
Performance Disparities between Accents in Automatic Speech Recognition (Student Abstract)
Alex DiChristofano, Henry Shuster, Shefali Chandra et al.
Periodic Multi-Agent Path Planning
Kazumi Kasaura, Ryo Yonetani, Mai Nishimura
Persistent Homology through Image Segmentation (Student Abstract)
Joshua Slater, Thomas Weighill
Personalized Dialogue Generation with Persona-Adaptive Attention
Qiushi Huang, Yu Zhang, Tom Ko et al.
Persuasion Strategies in Advertisements
Yaman Kumar, Rajat Jha, Arunim Gupta et al.
PGSS: Pitch-Guided Speech Separation
Xiang Li, Yiwen Wang, Yifan Sun et al.
Phase-Informed Bayesian Ensemble Models Improve Performance of COVID-19 Forecasts
Aniruddha Adiga, Gursharn Kaur, Lijing Wang et al.
Photogrammetry and VR for Comparing 2D and Immersive Linguistic Data Collection (Student Abstract)
Jacob Rubinstein, Cynthia Matuszek, Don Engel
Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization
Minghang Zheng, Sizhe Li, Qingchao Chen et al.
Physics Guided Neural Networks for Time-Aware Fairness: An Application in Crop Yield Prediction
Erhu He, Yiqun Xie, Licheng Liu et al.
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
Fengshuo Bai, Hongming Zhang, Tianyang Tao et al.
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor
Shun Lu, Yu Hu, Peihao Wang et al.
Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection
Zhenyu Wu, Lin Wang, Wei Wang et al.
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
Namgyu Kang, Byeonghyeon Lee, Youngjoon Hong et al.
Pixel-Wise Warping for Deep Image Stitching
Hyeokjun Kweon, Hyeonseong Kim, Yoonsu Kang et al.
Planning and Learning for Non-markovian Negative Side Effects Using Finite State Controllers
Aishwarya Srivastava, Sandhya Saisubramanian, Praveen Paruchuri et al.
Planning and Learning for Reliable Autonomy in the Open World
Sandhya Saisubramanian
Planning and Learning with Adaptive Lookahead
Aviv Rosenberg, Assaf Hallak, Shie Mannor et al.
Planning for Learning Object Properties
Leonardo Lamanna, Luciano Serafini, Mohamadreza Faridghasemnia et al.
Planning with Hidden Parameter Polynomial MDPs
Clarissa Costen, Marc Rigter, Bruno Lacerda et al.