Papers
Learning Multi-Step Predictive State Representations
Lucas Langer, Borja Balle, Doina Precup
Learning Paraphrase Identification with Structural Alignment
Chen Liang, Praveen Paritosh, Vinodh Rajendran et al.
Learning Possibilistic Logic Theories from Default Rules
Ondřej Kuželka, Jesse Davis, Steven Schockaert
Learning Predictive State Representations via Monte-Carlo Tree Search
Yunlong Liu, Hexing Zhu, Yifeng Zeng et al.
Learning Qualitative Spatial Relations for Robotic Navigation
Abdeslam Boularias, Felix Duvallet, Jean Oh et al.
Learning Social Affordance for Human-Robot Interaction
Tianmin Shu, M. S. Ryoo, Song-Chun Zhu
Learning Stable Linear Dynamical Systems with the Weighted Least Square Method
Wenbing Huang, Lele Cao, Fuchun Sun et al.
Learning to Detect Concepts from Webly-Labeled Video Data
Junwei Liang, Lu Jiang, Deyu Meng et al.
Learning to Incentivize: Eliciting Effort via Output Agreement
Yang Liu, Yiling Chen
Learning to Order Objects Using Haptic and Proprioceptive Exploratory Behaviors
Jivko Sinapov, Priyanka Khante, Maxwell Svetlik et al.
Learning to Rank for Synthesizing Planning Heuristics
Caelan Reed Garrett, Leslie Pack Kaelbling, Tomás Lozano-Pérez
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code
Xuan Huo, Ming Li, Zhi-Hua Zhou
Learning Using Unselected Features (LUFe)
Joseph G. Taylor, Viktoriia Sharmanska, Kristian Kersting et al.
Leviathan: A New LTL Satisfiability Checking Tool Based on a One-Pass Tree-Shaped Tableau
Matteo Bertello, Nicola Gigante, Angelo Montanari et al.
Limited Discrepancy AND/OR Search and Its Application to Optimization Tasks in Graphical Models
Javier Larrosa, Emma Rollon, Rina Dechter
Linear Arithmetic Satisfiability via Strategy Improvement
Azadeh Farzan, Zachary Kincaid
Linear-Time Outlier Detection via Sensitivity
Mario Lucic, Olivier Bachem, Andreas Krause
Logic-Based Inductive Synthesis of Efficient Programs
Andrew Cropper
LTL
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Machine Learning for Integer Programming
Elias B. Khalil
Maintaining Evolving Domain Models
Dan Bryce, J. Benton, Michael W. Boldt
Makeup Like a Superstar: Deep Localized Makeup Transfer Network
Si Liu, Xinyu Ou, Ruihe Qian et al.