Papers
Message-Dropout: An Efficient Training Method for Multi-Agent Deep Reinforcement Learning
Woojun Kim, Myungsik Cho, Youngchul Sung
General Robustness Evaluation of Incentive Mechanism against Bounded Rationality Using Continuum-Armed Bandits
Zehong Hu, Jie Zhang, Zhao Li
IPOMDP-Net: A Deep Neural Network for Partially Observable Multi-Agent Planning Using Interactive POMDPs
Yanlin Han, Piotr Gmytrasiewicz
Successor Features Based Multi-Agent RL for Event-Based Decentralized MDPs
Tarun Gupta, Akshat Kumar, Praveen Paruchuri
Distributed Community Detection via Metastability of the 2-Choices Dynamics
Emilio Cruciani, Emanuele Natale, Giacomo Scornavacca
A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique
Ziyu Chen, Xingqiong Jiang, Yanchen Deng et al.
An Abstraction-Based Method for Verifying Strategic Properties in Multi-Agent Systems with Imperfect Information
Francesco Belardinelli, Alessio Lomuscio, Vadim Malvone
Consensus in Opinion Formation Processes in Fully Evolving Environments
Vincenzo Auletta, Angelo Fanelli, Diodato Ferraioli
Bayesian Execution Skill Estimation
Christopher Archibald, Delma Nieves-Rivera
Verification of RNN-Based Neural Agent-Environment Systems
Michael E. Akintunde, Andreea Kevorchian, Alessio Lomuscio et al.
Consensus Adversarial Domain Adaptation
Han Zou, Yuxun Zhou, Jianfei Yang et al.
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources
Yongchun Zhu, Fuzhen Zhuang, Deqing Wang
Residual Invertible Spatio-Temporal Network for Video Super-Resolution
Xiaobin Zhu, Zhuangzi Li, Xiao-Yu Zhang et al.
DAN: Deep Attention Neural Network for News Recommendation
Qiannan Zhu, Xiaofei Zhou, Zeliang Song et al.
A Domain Generalization Perspective on Listwise Context Modeling
Lin Zhu, Yihong Chen, Bowen He
Communication-Optimal Distributed Dynamic Graph Clustering
Chun Jiang Zhu, Tan Zhu, Kam-Yiu Lam et al.
An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression
Xichuan Zhou, Lang Xu, Shujun Liu et al.
Deep Interest Evolution Network for Click-Through Rate Prediction
Guorui Zhou, Na Mou, Ying Fan et al.
Self-Supervised Mixture-of-Experts by Uncertainty Estimation
Zhuobin Zheng, Chun Yuan, Xinrui Zhu et al.
Capacity Control of ReLU Neural Networks by Basis-Path Norm
Shuxin Zheng, Qi Meng, Huishuai Zhang et al.
Understanding VAEs in Fisher-Shannon Plane
Huangjie Zheng, Jiangchao Yao, Ya Zhang et al.
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
Hao Zheng, Yizhe Zhang, Lin Yang et al.
Biomedical Image Segmentation via Representative Annotation
Hao Zheng, Lin Yang, Jianxu Chen et al.
Self-Adversarially Learned Bayesian Sampling
Yang Zhao, Jianyi Zhang, Changyou Chen
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
Shengjia Zhao, Jiaming Song, Stefano Ermon