Papers
AToM: An Analogical Theory of Mind
Irina Rabkina
A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing
Qikun Xiang, Jie Zhang, Ido Nevat et al.
Attachment Centrality for Weighted Graphs
Jadwiga Sosnowska, Oskar Skibski
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
Jun Xiao, Hao Ye, Xiangnan He et al.
A Unifying Framework for Probabilistic Belief Revision
Zhiqiang Zhuang, James Delgrande, Abhaya Nayak et al.
Autoencoder Regularized Network For Driving Style Representation Learning
Weishan Dong, Ting Yuan, Kai Yang et al.
AutoFolio: An Automatically Configured Algorithm Selector (Extended Abstract)
Marius Lindauer, Frank Hutter, Holger H. Hoos et al.
Automated Conjecturing I: Fajtlowicz's Dalmatian Heuristic Revisited (Extended Abstract)
Craig E. Larson, Nico Van Cleemput
Automated Planning for Urban Traffic Management
Thomas L. McCluskey, Mauro Vallati, Santiago Franco
Automatic Assessment of Absolute Sentence Complexity
Sanja Stajner, Simone Paolo Ponzetto, Heiner Stuckenschmidt
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)
Raffaella Bernardi, Ruket Cakici, Desmond Elliott et al.
Automatic Generation of Grounded Visual Questions
Shijie Zhang, Lizhen Qu, Shaodi You et al.
Automatic Synthesis of Smart Table Constraints by Abstraction of Table Constraints
Baudouin Le Charlier, Minh Thanh Khong, Christophe Lecoutre et al.
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning
Sanmit Narvekar, Jivko Sinapov, Peter Stone
A Variational Autoencoding Approach for Inducing Cross-lingual Word Embeddings
Liangchen Wei, Zhi-Hong Deng
A Verified SAT Solver Framework with Learn, Forget, Restart, and Incrementality
Jasmin Christian Blanchette, Mathias Fleury, Christoph Weidenbach
Basket-Sensitive Personalized Item Recommendation
Duc-Trong Le, Hady W. Lauw, Yuan Fang
Bayesian Aggregation of Categorical Distributions with Applications in Crowdsourcing
Alexandry Augustin, Matteo Venanzi, Alex Rogers et al.
Bayesian Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Yasuo Tabei et al.
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract)
James Cussens, Matti Järvisalo, Janne H. Korhonen et al.
Become Popular in SNS: Tag Recommendation using FolkPopularityRank to Enhance Social Popularity
Toshihiko Yamasaki, Yiwei Zhang, Jiani Hu et al.
Belief Change in a Preferential Non-monotonic Framework
Giovanni Casini, Thomas Meyer
Belief Manipulation Through Propositional Announcements
Aaron Hunter, François Schwarzentruber, Eric Tsang
Bernoulli Rank-1 Bandits for Click Feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári et al.
Beyond Forks: Finding and Ranking Star Factorings for Decoupled Search
Daniel Gnad, Valerie Poser, Jörg Hoffmann