Papers
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
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
Yihua Cheng, Yiwei Bao, Feng Lu
Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability
Kyle Richardson, Ashish Sabharwal
PYLON: A PyTorch Framework for Learning with Constraints
Kareem Ahmed, Tao Li, Thy Ton et al.
Q-Ball: Modeling Basketball Games Using Deep Reinforcement Learning
Chen Yanai, Adir Solomon, Gilad Katz et al.
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search
Animesh Sinha, Utkarsh Azad, Harjinder Singh
QueryProp: Object Query Propagation for High-Performance Video Object Detection
Fei He, Naiyu Gao, Jian Jia et al.
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers
Daniel Silver, Tirthak Patel, Devesh Tiwari
Random Mapping Method for Large-Scale Terrain Modeling
Xu Liu, Decai Li, Yuqing He
Random Tensor Theory for Tensor Decomposition
Mohamed Ouerfelli, Mohamed Tamaazousti, Vincent Rivasseau