Papers
Multi-Agent Advisor Q-Learning (Extended Abstract)
Sriram Ganapathi Subramanian, Matthew E. Taylor, Kate Larson et al.
Multi-Agent Intention Recognition and Progression
Michael Dann, Yuan Yao, Natasha Alechina et al.
Multi-Agent Systems with Quantitative Satisficing Goals
Senthil Rajasekaran, Suguman Bansal, Moshe Y. Vardi
Multi-level Graph Contrastive Prototypical Clustering
Yuchao Zhang, Yuan Yuan, Qi Wang
Multi-Modality Deep Network for JPEG Artifacts Reduction
Xuhao Jiang, Weimin Tan, Qing Lin et al.
Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting
Ren-Jian Wang, Ke Xue, Haopu Shang et al.
Multi-objective Search via Lazy and Efficient Dominance Checks
Carlos Hernández, William Yeoh, Jorge A. Baier et al.
MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations
Dong Won Lee, Yubin Kim, Rosalind W. Picard et al.
Multi-Robot Coordination and Layout Design for Automated Warehousing
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt et al.
Multi-Scale Subgraph Contrastive Learning
Yanbei Liu, Yu Zhao, Xiao Wang et al.
Multi-Task Learning via Time-Aware Neural ODE
Feiyang Ye, Xuehao Wang, Yu Zhang et al.
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
Luotao Liu, Feng Huang, Xuan Liu et al.
Multi-View Robust Graph Representation Learning for Graph Classification
Guanghui Ma, Chunming Hu, Ling Ge et al.
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem
Emmanouil Karystinaios, Francesco Foscarin, Gerhard Widmer
MV-Datalog+/-: Effective Rule-based Reasoning with Uncertain Observations (Extended Abstract)
Matthias Lanzinger, Stefano Sferrazza, Georg Gottlob
NAS-FM: Neural Architecture Search for Tunable and Interpretable Sound Synthesis Based on Frequency Modulation
Zhen Ye, Wei Xue, Xu Tan et al.
Negative Flux Aggregation to Estimate Feature Attributions
Xin Li, Deng Pan, Chengyin Li et al.
NeoMaPy: A Framework for Computing MAP Inference on Temporal Knowledge Graphs
Victor David, Raphael Fournier-S'niehotta, Nicolas Travers
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method
Zai Zhang, Bin Shi, Haokun Zhang et al.
NeuPSL: Neural Probabilistic Soft Logic
Connor Pryor, Charles Dickens, Eriq Augustine et al.
Neural Capacitated Clustering
Jonas K. Falkner, Lars Schmidt-Thieme
Neuro-Symbolic Class Expression Learning
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Neuro-Symbolic Learning of Answer Set Programs from Raw Data
Daniel Cunnington, Mark Law, Jorge Lobo et al.
New Algorithms for the Fair and Efficient Allocation of Indivisible Chores
Jugal Garg, Aniket Murhekar, John Qin
New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem
Olivier Goudet, Cyril Grelier, David Lesaint