Papers
Planning and Acting with Non-Deterministic Events: Navigating between Safe States
Lukas Chrpa, Jakub Gemrot, Martin Pilat
Planning with Abstract Learned Models While Learning Transferable Subtasks
John Winder, Stephanie Milani, Matthew Landen et al.
Plug-in, Trainable Gate for Streamlining Arbitrary Neural Networks
Jaedeok Kim, Chiyoun Park, Hyun-Joo Jung et al.
Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling
Wenkai Han, Chenglu Wen, Cheng Wang et al.
Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes
Maxime Bouton, Jana Tumova, Mykel J. Kochenderfer
Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution
Yang You, Yujing Lou, Qi Liu et al.
Policy Search by Target Distribution Learning for Continuous Control
Chuheng Zhang, Yuanqi Li, Jian Li
Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning
Jicong Fan, Yuqian Zhang, Madeleine Udell
POP ≡ POCL, Right? Complexity Results for Partial Order (Causal Link) Makespan Minimization
Pascal Bercher, Conny Olz
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Jing Li, Jing Xu, Fangwei Zhong et al.
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
Ya Jing, Chenyang Si, Junbo Wang et al.
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
Shaoxiong Feng, Hongshen Chen, Kan Li et al.
Posterior-Guided Neural Architecture Search
Yizhou Zhou, Xiaoyan Sun, Chong Luo et al.
POST: POlicy-Based Switch Tracking
Ning Wang, Wengang Zhou, Guojun Qi et al.
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development
Yongshun Gong, Zhibin Li, Jian Zhang et al.
Practical Federated Gradient Boosting Decision Trees
Qinbin Li, Zeyi Wen, Bingsheng He
Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games
Kengo Nakamura, Shinsaku Sakaue, Norihito Yasuda
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto, Terrence W.K. Mak, Pascal Van Hentenryck
Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract)
Nupoor Gandhi, Alex Morales, Sally Man-Pui Chan et al.
Predicting Propositional Satisfiability via End-to-End Learning
Chris Cameron, Rex Chen, Jason Hartford et al.
Predicting Students' Attention Level with Interpretable Facial and Head Dynamic Features in an Online Tutoring System (Student Abstract)
Shimeng Peng, Lujie Chen, Chufan Gao et al.
Predictive Engagement: An Efficient Metric for Automatic Evaluation of Open-Domain Dialogue Systems
Sarik Ghazarian, Ralph Weischedel, Aram Galstyan et al.
Predictive Student Modeling in Educational Games with Multi-Task Learning
Michael Geden, Andrew Emerson, Jonathan Rowe et al.
Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data
Jun Guo, Heng Chang, Wenwu Zhu