Papers
Policy Optimization as Online Learning with Mediator Feedback
Alberto Maria Metelli, Matteo Papini, Pierluca D'Oro et al.
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs
Marcel Wienöbst, Max Bannach, Maciej Liskiewicz
PoseBlocks: A Toolkit for Creating (and Dancing) with AI
Brian Jordan, Nisha Devasia, Jenna Hong et al.
Positions, Channels, and Layers: Fully Generalized Non-Local Network for Singer Identification
I-Yuan Kuo, Wen-Li Wei, Jen-Chun Lin
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
Xingchao Liu, Mao Ye, Dengyong Zhou et al.
Power in Liquid Democracy
Yuzhe Zhang, Davide Grossi
Power up! Robust Graph Convolutional Network via Graph Powering
Ming Jin, Heng Chang, Wenwu Zhu et al.
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression
Christian Fiedler, Carsten W. Scherer, Sebastian Trimpe
Pragmatic Code Autocomplete
Gabriel Poesia, Noah Goodman
Precise Yet Efficient Semantic Calibration and Refinement in ConvNets for Real-time Polyp Segmentation from Colonoscopy Videos
Huisi Wu, Jiafu Zhong, Wei Wang et al.
Precision-based Boosting
Mohammad Hossein Nikravan, Marjan Movahedan, Sandra Zilles
Preclinical Stage Alzheimer's Disease Detection Using Magnetic Resonance Image Scans
Fatih Altay, Guillermo Ramón Sánchez, Yanli James et al.
Predicting Flashover Occurrence using Surrogate Temperature Data
Eugene Yujun Fu, Wai Cheong Tam, Jun Wang et al.
Predicting Forest Fire Using Remote Sensing Data And Machine Learning
Suwei Yang, Massimo Lupascu, Kuldeep S. Meel
Predicting Livelihood Indicators from Community-Generated Street-Level Imagery
Jihyeon Lee, Dylan Grosz, Burak Uzkent et al.
Predicting Mining Industry Accidents with a Multitask Learning Approach
Rodolfo Palma, Luis Martí, Nayat Sánchez-Pi
Predicting Parking Availability from Mobile Payment Transactions with Positive Unlabeled Learning
Jonas Sonntag, Michael Engel, Lars Schmidt-Thieme
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone
Sandeep Kumar, Koushik Biswas, Ashish Kumar Pandey
Predictive Adversarial Learning from Positive and Unlabeled Data
Wenpeng Hu, Ran Le, Bing Liu et al.
Preference Elicitation as Average-Case Sorting
Dominik Peters, Ariel D. Procaccia
Preferred Explanations for Ontology-Mediated Queries under Existential Rules
İsmail İlkan Ceylan, Thomas Lukasiewicz, Enrico Malizia et al.
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation
Minseok Kim, Hwanjun Song, Doyoung Kim et al.
Present-Biased Optimization
Fedor V. Fomin, Pierre Fraigniaud, Petr A. Golovach
Preserving Condorcet Winners under Strategic Manipulation
Sirin Botan, Ulle Endriss