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• Learning Graph-Structured Sum-Product Networks for Probabilistic Semantic Maps

  Kaiyu Zheng, Andrzej Pronobis, Rajesh Rao

  2018-04-29

• Substructure Assembling Network for Graph Classification

  Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao

  2018-04-29

• Belief Reward Shaping in Reinforcement Learning

  Ofir Marom, Benjamin Rosman

  2018-04-29

• Learning With Options That Terminate Off-Policy

  Anna Harutyunyan, Peter Vrancx, Pierre-Luc Bacon, Doina Precup, Ann Nowé

  2018-04-29

• Learning to Interact With Learning Agents

  Adish Singla, Hamed Hassani, Andreas Krause

  2018-04-29

• On Multi-Relational Link Prediction With Bilinear Models

  Yanjie Wang, Rainer Gemulla, Hui Li

  2018-04-29

• Optimal Margin Distribution Clustering

  Teng Zhang, Zhi-Hua Zhou

  2018-04-29

• DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization

  Tianxiang Gao, Chris Chu

  2018-04-29

• MERCS: Multi-Directional Ensembles of Regression and Classification Trees

  Elia Van Wolputte, Evgeniya Korneva, Hendrik Blockeel

  2018-04-29

• Sum-Product Autoencoding: Encoding and Decoding Representations Using Sum-Product Networks

  Antonio Vergari, Robert Peharz, Nicola Di Mauro, Alejandro Molina, Kristian Kersting, Floriana Esposito

  2018-04-29

• Bernoulli Embeddings for Graphs

  Vinith Misra, Sumit Bhatia

  2018-04-29

• AutoEncoder by Forest

  Ji Feng, Zhi-Hua Zhou

  2018-04-29

• Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains

  Alejandro Molina, Antonio Vergari, Nicola Di Mauro, Sriraam Natarajan, Floriana Esposito, Kristian Kersting

  2018-04-29

• Multi-Layer Multi-View Classification for Alzheimer’s Disease Diagnosis

  Changqing Zhang, Ehsan Adeli, Tao Zhou, Xiaobo Chen, Dinggang Shen

  2018-04-29

• Learning Combinatory Categorial Grammars for Plan Recognition

  Christopher Geib, Pavan Kantharaju

  2018-04-29

• AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

  Chia-Yu Chen, Jungwook Choi, Daniel Brand, Ankur Agrawal, Wei Zhang, Kailash Gopalakrishnan

  2018-04-29

• Learning Mixtures of Random Utility Models

  Zhibing Zhao, Tristan Villamil, Lirong Xia

  2018-04-29

• Core Dependency Networks

  Alejandro Molina, Alexander Munteanu, Kristian Kersting

  2018-04-29

• Building Deep Networks on Grassmann Manifolds

  Zhiwu Huang, Jiqing Wu, Luc Van Gool

  2018-04-29

• ROAR: Robust Label Ranking for Social Emotion Mining

  Jason (Jiasheng) Zhang, Dongwon Lee

  2018-04-29

• Learning to Rank Based on Analogical Reasoning

  Mohsen Ahmadi Fahandar, Eyke Hüllermeier

  2018-04-29

• Latent Semantic Aware Multi-View Multi-Label Classification

  Changqing Zhang, Ziwei Yu, Qinghua Hu, Pengfei Zhu, Xinwang Liu, Xiaobo Wang

  2018-04-29

• SC2Net: Sparse LSTMs for Sparse Coding

  Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh

  2018-04-29

• Imitation Learning via Kernel Mean Embedding

  Kee-Eung Kim, Hyun Soo Park

  2018-04-29

• A Poisson Gamma Probabilistic Model for Latent Node-Group Memberships in Dynamic Networks

  Sikun Yang, Heinz Koeppl

  2018-04-29