Papers
Rewriting the Description Logic ALCHIQ to Disjunctive Existential Rules
David Carral, Markus Krötzsch
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori et al.
Risk Guarantee Prediction in Networked-Loans
Dawei Cheng, Xiaoyang Wang, Ying Zhang et al.
RLCard: A Platform for Reinforcement Learning in Card Games
Daochen Zha, Kwei-Herng Lai, Songyi Huang et al.
RM-CVaR: Regularized Multiple β-CVaR Portfolio
Kei Nakagawa, Shuhei Noma, Masaya Abe
Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang et al.
Robust Market Making via Adversarial Reinforcement Learning
Thomas Spooner, Rahul Savani
Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions
Michael Saint-Guillain, Tiago Stegun Vaquero, Jagriti Agrawal et al.
Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
Adam Goodge, Bryan Hooi, See Kiong Ng et al.
Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization
Marnix Suilen, Nils Jansen, Murat Cubuktepe et al.
Rumor Detection on Social Media with Graph Structured Adversarial Learning
Xiaoyu Yang, Yuefei Lyu, Tian Tian et al.
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin, Siyu Huang, Ming Chen et al.
Scalable Gaussian Process Regression Networks
Shibo Li, Wei Xing, Robert M. Kirby et al.
Scaling Up AND/OR Abstraction Sampling
Kalev Kask, Bobak Pezeshki, Filjor Broka et al.
SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor
Jiachen Xu, Jingyu Gong, Jie Zhou et al.
SEBF: A Single-Chain based Extension Model of Blockchain for Fintech
Yimu Ji, Weiheng Gu, Fei Chen et al.
Selecting Voting Locations for Fun and Profit
Zack Fitzsimmons, Omer Lev
SelectScale: Mining More Patterns from Images via Selective and Soft Dropout
Zhengsu Chen, Jianwei Niu, Xuefeng Liu et al.
Self-adaptive Re-weighted Adversarial Domain Adaptation
Shanshan Wang, Lei Zhang
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning
Johan Ferret, Raphael Marinier, Matthieu Geist et al.
Self-Guided Evolution Strategies with Historical Estimated Gradients
Fei-Yu Liu, Zi-Niu Li, Chao Qian
Self-paced Consensus Clustering with Bipartite Graph
Peng Zhou, Liang Du, Xuejun Li
Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification
Haocong Rao, Siqi Wang, Xiping Hu et al.
Self-supervised Monocular Depth and Visual Odometry Learning with Scale-consistent Geometric Constraints
Mingkang Xiong, Zhenghong Zhang, Weilin Zhong et al.
Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu, Wei Zhai, Yang Cao