Papers
On the Estimation of Treatment Effect with Text Covariates
Liuyi Yao, Sheng Li, Yaliang Li et al.
On the Integration of CP-nets in ASPRIN
Mario Alviano, Javier Romero, Torsten Schaub
On the Problem of Assigning PhD Grants
Katarína Cechlárová, Laurent Gourvès, Julien Lesca
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)
Claudia Schulz, Francesca Toni
Ontology Approximation in Horn Description Logics
Anneke Bötcher, Carsten Lutz, Frank Wolter
Open-Ended Long-Form Video Question Answering via Hierarchical Convolutional Self-Attention Networks
Zhu Zhang, Zhou Zhao, Zhijie Lin et al.
OpenMarkov, an Open-Source Tool for Probabilistic Graphical Models
Manuel Arias, Jorge Pérez-Martín, Manuel Luque et al.
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit
Djallel Bouneffouf, Srinivasan Parthasarathy, Horst Samulowitz et al.
Optimality and Nash Stability in Additive Separable Generalized Group Activity Selection Problems
Vittorio Bilò, Angelo Fanelli, Michele Flammini et al.
Optimally Efficient Bidirectional Search
Eshed Shaham, Ariel Felner, Nathan R. Sturtevant et al.
Optimizing Constraint Solving via Dynamic Programming
Shu Lin, Na Meng, Wenxin Li
Ornstein Auto-Encoders
Youngwon Choi, Joong-Ho Won
Outlier Detection for Time Series with Recurrent Autoencoder Ensembles
Tung Kieu, Bin Yang, Chenjuan Guo et al.
Outlier-Robust Multi-Aspect Streaming Tensor Completion and Factorization
Mehrnaz Najafi, Lifang He, Philip S. Yu
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
Yanfang Ye, Shifu Hou, Lingwei Chen et al.
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving
Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan
Parallel Wasserstein Generative Adversarial Nets with Multiple Discriminators
Yuxin Su, Shenglin Zhao, Xixian Chen et al.
Parametric Manifold Learning of Gaussian Mixture Models
Ziquan Liu, Lei Yu, Janet H. Hsiao et al.
Partial Label Learning by Semantic Difference Maximization
Lei Feng, Bo An
Partial Label Learning with Unlabeled Data
Qian-Wei Wang, Yu-Feng Li, Zhi-Hua Zhou
Partitioning Techniques in LTLf Synthesis
Lucas Martinelli Tabajara, Moshe Y. Vardi
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views
Zhizhong Han, Xinhai Liu, Yu-Shen Liu et al.
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
Taoran Ji, Zhiqian Chen, Nathan Self et al.