Papers
Recognizable Information Bottleneck
Yilin Lyu, Xin Liu, Mingyang Song et al.
Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion
Zhaoxin Fan, Yulin He, Zhicheng Wang et al.
Recursive Small-Step Multi-Agent A* for Dec-POMDPs
Wietze Koops, Nils Jansen, Sebastian Junges et al.
Reducing Communication for Split Learning by Randomized Top-k Sparsification
Fei Zheng, Chaochao Chen, Lingjuan Lyu et al.
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers
Daniel Grießhaber, Johannes Maucher, Ngoc Thang Vu
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
Hao Mei, Junxian Li, Bin Shi et al.
Reinforcement Learning from Optimization Proxy for Ride-Hailing Vehicle Relocation (Extended Abstract)
Enpeng Yuan, Wenbo Chen, Pascal Van Hentenryck
Relation-enhanced DETR for Component Detection in Graphic Design Reverse Engineering
Xixuan Hao, Danqing Huang, Jieru Lin et al.
Relative Inconsistency Measures for Indefinite Databases with Denial Constraints
Francesco Parisi, John Grant
ReLiNet: Stable and Explainable Multistep Prediction with Recurrent Linear Parameter Varying Networks
Alexandra Baier, Decky Aspandi, Steffen Staab
RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models
Xingchen Zhou, Ying He, F. Richard Yu et al.
REPLACE: A Logical Framework for Combining Collective Entity Resolution and Repairing
Meghyn Bienvenu, Gianluca Cima, Víctor Gutiérrez-Basulto
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract)
Vojtěch Kovařík, Martin Schmid, Neil Burch et al.
Revenue Maximization Mechanisms for an Uninformed Mediator with Communication Abilities
Zhikang Fan, Weiran Shen
Reverse Engineering of Temporal Queries Mediated by LTL Ontologies
Marie Fortin, Boris Konev, Vladislav Ryzhikov et al.
Revisiting the Evaluation of Deep Learning-Based Compiler Testing
Yongqiang Tian, Zhenyang Xu, Yiwen Dong et al.
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways (Extended Abstract)
Francesco Fabbri, Yanhao Wang, Francesco Bonchi et al.
RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation
Ke Fan, Changan Wang, Yabiao Wang et al.
Robust Image Ordinal Regression with Controllable Image Generation
Yi Cheng, Haochao Ying, Renjun Hu et al.
Robust Reinforcement Learning via Progressive Task Sequence
Yike Li, Yunzhe Tian, Endong Tong et al.
Robust Steganography without Embedding Based on Secure Container Synthesis and Iterative Message Recovery
Ziping Ma, Yuesheng Zhu, Guibo Luo et al.
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture
Yingjie Li, Weilu Gao, Cunxi Yu
RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests
Yunlong Xu, Lingxiao Yang, Hongzhi You et al.
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise
Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle et al.