Papers
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
Rational Closure For All Description Logics (Extended Abstract)
Piero A. Bonatti
RDF-to-Text Generation with Graph-augmented Structural Neural Encoders
Hanning Gao, Lingfei Wu, Po Hu et al.
Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
Connor Riley, Pascal van Hentenryck, Enpeng Yuan
Real-World Automatic Makeup via Identity Preservation Makeup Net
Zhikun Huang, Zhedong Zheng, Chenggang Yan et al.
Reasoning About Inconsistent Formulas
Joao Marques-Silva, Carlos Mencía
Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning
Guojia Wan, Shirui Pan, Chen Gong et al.
Rebalancing Expanding EV Sharing Systems with Deep Reinforcement Learning
Man Luo, Wenzhe Zhang, Tianyou Song et al.
Recent Developments in Boolean Matrix Factorization
Pauli Miettinen, Stefan Neumann
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
Yu Zeng, Yan Gao, Jiaqi Guo et al.
Recurrent Dirichlet Belief Networks for interpretable Dynamic Relational Data Modelling
Yaqiong Li, Xuhui Fan, Ling Chen et al.
Recurrent Relational Memory Network for Unsupervised Image Captioning
Dan Guo, Yang Wang, Peipei Song et al.
Reducing Underflow in Mixed Precision Training by Gradient Scaling
Ruizhe Zhao, Brian Vogel, Tanvir Ahmed et al.
Reference Guided Face Component Editing
Qiyao Deng, Jie Cao, Yunfan Liu et al.
Reinforcement Learning Framework for Deep Brain Stimulation Study
Dmitrii Krylov, Remi Tachet des Combes, Romain Laroche et al.
Reinforcement Learning with Dynamic Boltzmann Softmax Updates
Ling Pan, Qingpeng Cai, Qi Meng et al.
Relation-Aware Transformer for Portfolio Policy Learning
Ke Xu, Yifan Zhang, Deheng Ye et al.
Relation-Based Counterfactual Explanations for Bayesian Network Classifiers
Emanuele Albini, Antonio Rago, Pietro Baroni et al.
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari et al.
Revisiting the Notion of Extension over Incomplete Abstract Argumentation Frameworks
Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
Reward Prediction Error as an Exploration Objective in Deep RL
Riley Simmons-Edler, Ben Eisner, Daniel Yang et al.