Papers
8,127 papers found
Restricted Communication in Online Multi-Robot Exploration
Elizabeth A. Jensen
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding
Zhou Yu, Jun Yu, Chenchao Xiang et al.
Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies
Víctor Gutiérrez-Basulto, Jean Christoph Jung, Leif Sabellek
Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents (Extended Abstract)
Marlos C. Machado, Marc G. Bellemare, Erik Talvitie et al.
Robot Task Interruption by Learning to Switch Among Multiple Models
Anahita Mohseni-Kabir, Manuela Veloso
Robust Auto-Weighted Multi-View Clustering
Pengzhen Ren, Yun Xiao, Pengfei Xu et al.
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid
Shengchuan Zhang, Rongrong Ji, Jie Hu et al.
Robust Feature Selection on Incomplete Data
Wei Zheng, Xiaofeng Zhu, Yonghua Zhu et al.
Robust Graph Dimensionality Reduction
Xiaofeng Zhu, Cong Lei, Hao Yu et al.
Robust Multi-view Learning via Half-quadratic Minimization
Yonghua Zhu, Xiaofeng Zhu, Wei Zheng
Robust Multi-view Representation: A Unified Perspective from Multi-view Learning to Domain Adaption
Zhengming Ding, Ming Shao, Yun Fu
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy
Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah et al.
R-SVM+: Robust Learning with Privileged Information
Xue Li, Bo Du, Chang Xu et al.
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification
Kun Yuan, Qian Zhang, Chang Huang et al.
Salient Object Detection by Lossless Feature Reflection
Pingping Zhang, Wei Liu, Huchuan Lu et al.
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks
Renjie Zheng, Junkun Chen, Xipeng Qiu
Sampling for Approximate Bipartite Network Projection
Nesreen Ahmed, Nick Duffield, Liangzhen Xia
Scalable Initial State Interdiction for Factored MDPs
Swetasudha Panda, Yevgeniy Vorobeychik
Scalable Multiplex Network Embedding
Hongming Zhang, Liwei Qiu, Lingling Yi et al.
Scalable Probabilistic Causal Structure Discovery
Dhanya Sridhar, Jay Pujara, Lise Getoor
Scalable Rule Learning via Learning Representation
Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
Scanpath Prediction for Visual Attention using IOR-ROI LSTM
Zhenzhong Chen, Wanjie Sun
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents
Wenhan Xiong, Xiaoxiao Guo, Mo Yu et al.
Scheduling under Uncertainty: A Query-based Approach
Luciana Arantes, Evripidis Bampis, Alexander Kononov et al.
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing
Xin Luo, Xiao-Ya Yin, Liqiang Nie et al.