Papers
Marathon Race Planning: A Case-Based Reasoning Approach
Barry Smyth, Padraig Cunningham
An Efficient Minibatch Acceptance Test for Metropolis-Hastings
Daniel Seita, Xinlei Pan, Haoyu Chen et al.
Recursive Spoken Instruction-Based One-Shot Object and Action Learning
Matthias Scheutz, Evan Krause, Bradley Oosterveld et al.
Evaluating and Complementing Vision-to-Language Technology for People who are Blind with Conversational Crowdsourcing
Elliot Salisbury, Ece Kamar, Meredith Ringel Morris
The Intricacies of Three-Valued Extensional Semantics for Higher-Order Logic Programs
Panos Rondogiannis, Ioanna Symeonidou
Completeness-aware Rule Learning from Knowledge Graphs
Thomas Pellissier Tanon, Daria Stepanova, Simon Razniewski et al.
Distributing Frank-Wolfe via Map-Reduce
Armin Moharrer, Stratis Ioannidis
Cost-Based Goal Recognition for the Path-Planning Domain
Peta Masters, Sebastian Sardina
Inhibition of Occluded Facial Regions for Distance-Based Face Recognition
Daniel López Sánchez, Juan M. Corchado, Angelica González Arrieta
An Empirical Study of Branching Heuristics through the Lens of Global Learning Rate
Jia Liang, Hari Govind, Pascal Poupart et al.
Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search
Duong Le, Erion Plaku
Attributed Description Logics: Reasoning on Knowledge Graphs
Markus Krötzsch, Maximilian Marx, Ana Ozaki et al.
Counterexample-Driven Genetic Programming: Stochastic Synthesis of Provably Correct Programs
Krzysztof Krawiec, Iwo Błądek, Jerry Swan et al.
Geolocating Images with Crowdsourcing and Diagramming
Rachel Kohler, John Purviance, Kurt Luther
Emergent Tangled Program Graphs in Multi-Task Learning
Stephen Kelly, Malcolm Heywood
Orchestrating a Network of Mereotopological Theories: An Abridged Report
C. Maria Keet, Oliver Kutz
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims, Adith Swaminathan, Tobias Schnabel
Make Evasion Harder: An Intelligent Android Malware Detection System
Shifu Hou, Yanfang Ye, Yangqiu Song et al.
Accelerating Innovation Through Analogy Mining
Tom Hope, Joel Chan, Aniket Kittur et al.
Search Progress and Potentially Expanded States in Greedy Best-First Search
Manuel Heusner, Thomas Keller, Malte Helmert
Translation-based Recommendation: A Scalable Method for Modeling Sequential Behavior
Ruining He, Wang-Cheng Kang, Julian McAuley
A Model of Distributed Query Computation in Client-Server Scenarios on the Semantic Web
Olaf Hartig, Ian Letter, Jorge Pérez
Toeplitz Inverse Covariance-based Clustering of Multivariate Time Series Data
David Hallac, Sagar Vare, Stephen Boyd et al.
Reducing Controversy by Connecting Opposing Views
Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis et al.
Inductive Certificates of Unsolvability for Domain-Independent Planning
Salomé Eriksson, Gabriele Röger, Malte Helmert