Papers
PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection
Suraj Kothawade, Vishal Kaushal, Ganesh Ramakrishnan et al.
Privacy-Preserving Face Recognition in the Frequency Domain
Yinggui Wang, Jian Liu, Man Luo et al.
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
Praneeth Vepakomma, Julia Balla, Ramesh Raskar
Private Rank Aggregation in Central and Local Models
Daniel Alabi, Badih Ghazi, Ravi Kumar et al.
PrivateSNN: Privacy-Preserving Spiking Neural Networks
Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda
Probing Linguistic Information for Logical Inference in Pre-trained Language Models
Zeming Chen, Qiyue Gao
Probing Word Syntactic Representations in the Brain by a Feature Elimination Method
Xiaohan Zhang, Shaonan Wang, Nan Lin et al.
Procedural Text Understanding via Scene-Wise Evolution
Jialong Tang, Hongyu Lin, Meng Liao et al.
Procrastinated Tree Search: Black-Box Optimization with Delayed, Noisy, and Multi-Fidelity Feedback
Junxiong Wang, Debabrota Basu, Immanuel Trummer
Programmatic Modeling and Generation of Real-Time Strategic Soccer Environments for Reinforcement Learning
Abdus Salam Azad, Edward Kim, Qiancheng Wu et al.
Programmatic Reward Design by Example
Weichao Zhou, Wenchao Li
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation
Jinze Chen, Yang Wang, Yang Cao et al.
Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation
Shili Zhou, Weimin Tan, Bo Yan
Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract)
Yongqi Wu, Xingjun Wang, Chen Chen et al.
Proportional Public Decisions
Piotr Skowron, Adrian Górecki
Propositional Encodings of Acyclicity and Reachability by Using Vertex Elimination
Masood Feyzbakhsh Rankooh, Jussi Rintanen
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
Xuanli He, Qiongkai Xu, Lingjuan Lyu et al.
ProtGNN: Towards Self-Explaining Graph Neural Networks
Zaixi Zhang, Qi Liu, Hao Wang et al.
Prototype-Based Explanations for Graph Neural Networks (Student Abstract)
Yong-Min Shin, Sun-Woo Kim, Eun-Bi Yoon et al.
Provable Guarantees for Understanding Out-of-Distribution Detection
Peyman Morteza, Yixuan Li
Provable Sensor Sets for Epidemic Detection over Networks with Minimum Delay
Jack Heavey, Jiaming Cui, Chen Chen et al.
Proximal PanNet: A Model-Based Deep Network for Pansharpening
Xiangyong Cao, Yang Chen, Wenfei Cao
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
Diana Kim, Ahmed Elgammal, Marian Mazzone
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
Tim Whitaker, Darrell Whitley
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
Ga Wu, Masoud Hashemi, Christopher Srinivasa