Papers
Playing Atari with Six Neurons (Extended Abstract)
Giuseppe Cuccu, Julian Togelius, Philippe Cudré-Mauroux
Point at the Triple: Generation of Text Summaries from Knowledge Base Triples (Extended Abstract)
Pavlos Vougiouklis, Eddy Maddalena, Jonathon Hare et al.
Polar Relative Positional Encoding for Video-Language Segmentation
Ke Ning, Lingxi Xie, Fei Wu et al.
Population Location and Movement Estimation through Cross-domain Data Analysis
Xinghao Yang, Wei Liu
Positive Unlabeled Learning with Class-prior Approximation
Shizhen Chang, Bo Du, Liangpei Zhang
Potential Driven Reinforcement Learning for Hard Exploration Tasks
Enmin Zhao, Shihong Deng, Yifan Zang et al.
Predicting Landslides Using Locally Aligned Convolutional Neural Networks
Ainaz Hajimoradlou, Gioachino Roberti, David Poole
Predicting Strategic Behavior from Free Text (Extended Abstract)
Omer Ben-Porat, Lital Kuchy, Sharon Hirsch et al.
Predictive Uncertainty Estimation for Tractable Deep Probabilistic Models
Julissa Villanueva Llerena
Privileged label enhancement with multi-label learning
Wenfang Zhu, Xiuyi Jia, Weiwei Li
ProbAnch: a Modular Probabilistic Anchoring Framework
Andreas Persson, Pedro Zuidberg Dos Martires, Luc de Raedt et al.
Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval
Xinxun Xu, Muli Yang, Yanhua Yang et al.
Prophet Inequalities for Bayesian Persuasion
Niklas Hahn, Martin Hoefer, Rann Smorodinsky
Proportionality in Approval-Based Elections With a Variable Number of Winners
Rupert Freeman, Anson Kahng, David M. Pennock
Provenance for the Description Logic ELHr
Camille Bourgaux, Ana Ozaki, Rafael Penaloza et al.
Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization
Yi Zhou, Zhe Wang, Kaiyi Ji et al.
Pure-Past Linear Temporal and Dynamic Logic on Finite Traces
Giuseppe De Giacomo, Antonio Di Stasio, Francesco Fuggitti et al.
Putting Accountability of AI Systems into Practice
Beatriz San Miguel, Aisha Naseer, Hiroya Inakoshi
PyDL8.5: a Library for Learning Optimal Decision Trees
Gaël Aglin, Siegfried Nijssen, Pierre Schaus
Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables
Jiaqi Zhang, Meng Wang, Qinchi Li et al.
Query Answering for Existential Rules via Efficient Datalog Rewriting
Zhe Wang, Peng Xiao, Kewen Wang et al.
Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation
Julian Berk, Sunil Gupta, Santu Rana et al.
Ranking Semantics for Argumentation Systems With Necessities
Dragan Doder, Srdjan Vesic, Madalina Croitoru