Accepted Papers

MIXGAN: Learning Concepts from Different Domains for Mixture Generation, Guang-Yuan Hao, Hong-Xing Yu, Wei-Shi Zheng
GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction, Yuxuan Liang, Songyu Ke, Junbo Zhang, Xiuwen Yi, Yu Zheng
Predicting Complex Activities from Ongoing Multivariate Time Series, Weihao Cheng, Sarah M. Erfani, Rui Zhang, Ramamohanarao Kotagiri
The FastMap Algorithm for Shortest Path Computations, Liron Cohen, Tansel Uras, Shiva Jahangiri, Aliyah Arunasalam, Sven Koenig, T. K. Satish Kumar
Salient Object Detection by Lossless Feature Reflection, Pingping Zhang, Wei Liu, Huchuan Lu, Chunhua Shen
3D-Aided Deep Pose-Invariant Face Recognition, Jian Zhao, Lin Xiong, Yu Cheng, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Jayashree Karlekar, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng
Improving Entity Recommendation with Search Log and Multi-Task Learning, Jizhou Huang, Wei Zhang, Yaming Sun, Haifeng Wang, Ting Liu
Dilated Convolutional Network with Iterative Optimization for Continuous Sign Language Recognition, Junfu Pu, Wengang Zhou, Houqiang Li
Cascaded SR-GAN for Scale-Adaptive Low Resolution Person Re-identification, Zheng Wang, Mang Ye, Fan Yang, Xiang Bai, Shin’ichi Satoh
Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking, Mang Ye, Zheng Wang, Xiangyuan Lan, Pong C Yuen
Teaching Semi-Supervised Classifier via Generalized Distillation, Chen Gong, Xiaojun Chang, Meng Fang, Jian Yang
Deep Joint Semantic-Embedding Hashing, Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao
Deep View-Aware Metric Learning for Person Re-Identification, Pu Chen, Xinyi Xu, Cheng Deng
Line separation from topographic maps using regional color and spatial information, Pengfei Xu, Qiguang Miao, Tiange Liu, Xiaojiang Chen, Dingyi Fang
A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs, Yiyuan Wang, Shaowei Cai, Jiejiang Chen, Minghao Yin
Solving (Weighted) Partial MaxSAT by Dynamic Local Search for SAT, Zhendong Lei, Shaowei Cai
Densely Cascaded Shadow Detection Network via Deeply Supervised Parallel Fusion, Yupei Wang, Xin Zhao, Yin Li, Xuecai Hu, Kaiqi Huang
Semantic Structure-based Unsupervised Deep Hashing, Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao
Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning, Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin
DRPose3D: Depth Ranking in 3D Human Pose Estimation, Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma
Fast Compliance Checking in an OWL2 Fragment, Piero A. Bonatti
Impression Allocation for Combating Fraud in E-commerce Via Deep Reinforcement Learning with Action Norm Penalty, Mengchen Zhao, Zhao Li, BO AN, Haifeng Lu, Yifan Yang, Chen Chu
FISH-MML: Fisher-HSIC Multi-View Metric Learning, Changqing Zhang, Yeqinq Liu, Yue Liu, Qinghua Hu, Xinwang Liu, Pengfei Zhu
Convergence Analysis of Gradient Descent for Eigenvector Computation, Zhiqiang Xu, Xin Cao, Xin Gao
Show and Tell More: Topic-Oriented Multi-Sentence Image Captioning, Yuzhao Mao, Chang Zhou, Xiaojie Wang, Ruifan Li
On Concept Forgetting in Description Logics with Qualified Number Restrictions, Yizheng Zhao, Renate Schmidt
Differentiated Attentive Representation Learning for Sentence Classification, Qianrong Zhou, Xiaojie Wang, Xuan Dong
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits, Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness Shroff
Dynamically Hierarchy Revolution: DirNet for Compressing Recurrent Neural Network on Mobile Devices, Jie Zhang, Xiaolong Wang, Dawei Li, Yalin Wang
Analyzing Tie-Breaking Strategies for the A* Algorithm, Augusto Blaas Corrêa, André Grahl Pereira, Marcus Ritt
H-Net: Neural Network for Cross-domain Image Patch Matching, Weiquan Liu, Xuelun Shen, Cheng Wang, Zhihong Zhang, Chenglu Wen, Jonathan Li
Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks, Yang He, Guoliang Kang, Xuanyi Dong, Yanwei Fu, Yi Yang
Jumper: Learning When to Make Classification Decision in Reading, Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song
Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism, Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He
Improving Implicit Recommender Systems with View Data, Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu
Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling, Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang
Actual Causality in a Logical Setting, Alexander Bochman
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering, Sihan Ma, Lefei Zhang, Wenbin Hu, Yipeng Zhang, Jia Wu, Xuelong Li
Managing Communication Costs under Temporal Uncertainty, Nikhil Bhargava, Christian Muise, Tiago Vaquero, Brian Williams
Variable-Delay Controllability, Nikhil Bhargava, Christian Muise, Brian Williams
Hierarchical Expertise Level Modeling for User Specific Contrastive Explanations, Sarath Sreedharan, Siddharth Srivastava, Subbarao Kambhampati
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning, Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua
Real-time Traffic Pattern Analysis and Inference with Sparse Video Surveillance Information, Yang Wang, Yiwei Xiao, Xike Xie, Ruoyu Chen, Hengchang Liu
PredCNN: Predictive Learning with Cascade Convolutions, Ziru Xu, Yunbo Wang, Mingsheng Long, Jianmin Wang
Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning, Junchi Yan, Xin Liu, Liangliang Shi, Changsheng Li, Hongyuan Zha
Live Face Verification with Multiple Instantialized Local Homographic Parameterization, Chen Lin, Zhouyingcheng Liao, Peng Zhou, Jianguo Hu, Bingbing Ni
Differential Equations for Modeling Asynchronous Algorithms, Li He, Qi Meng, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
Learning to Design Games: Strategic Environments in Reinforcement Learning, Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning, Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Fenglin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie
Exploiting Justifications for Lazy Grounding of Answer Set Programs, Bart Bogaerts, Antonius Weinzierl
On the Cost Complexity of Crowdsourcing, Yili Fang, Hailong Sun, Pengpeng Chen, Jinpeng Huai
Lightweight Label Propagation for Large-Scale Network Data, De-Ming Liang, Yu-Feng Li
A Deep Modular RNN Approach for Ethos Mining, Rory Duthie, Katarzyna Budzynska
A Brand-level Ranking System with the Customized Attention-GRU Model, Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai
Interactive Robot Transition Repair With SMT, Jarrett Holtz, Arjun Guha, Joydeep Biswas
Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment, Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo
When Does Diversity of Agent Preferences Improve Outcomes in Selfish Routing?, Richard Cole, Thanasis Lianeas, Evdokia Nikolova
Recurrent Collaborative Filtering for Unifying General and Sequential Recommender, Disheng Dong, Xiaolin Zheng, Ruixun Zhang, Yan Wang
Evaluating Brush Movements for Chinese Calligraphy: A Computer Vision Based Approach, Pengfei Xu, Lei Wang, Ziyu Guan, Xia Zheng, Xiaojiang Chen, Zhanyong Tang, Dingyi Fang, Xiaoqing Gong, Zheng Wang
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding, Zhou Yu, Jun Yu, Chenchao Xiang, Zhou Zhao, Qi Tian, Dacheng Tao
Hi-Fi: Hierarchical Feature Integration for Skeleton Detection, Kai Zhao, Wei Shen, Shanghua Gao, Dandan Li, Ming-Ming Cheng
Curriculum Learning for Natural Answer Generation, Cao Liu, Shizhu He, Kang Liu, Jun Zhao
DEL: Deep Embedding Learning for Efficient Image Segmentation, Yun Liu, Peng-Tao Jiang, Vahan Petrosyan, Shi-Jie Li, Jiawang Bian, Le Zhang, Ming-Ming Cheng
A Study of Argumentative Characterisations of Preferred Subtheories, Marcello D’Agostino, Sanjay Modgil
Descriptive Clustering: ILP and CP Formulations with Applications, Chia-Tung Kuo, Thi-Bich-Hanh Dao, S. S. Ravi, Christel Vrain, Ian Davidson
Image Cationing with Visual-Semantic LSTM, Nannan Li, Zhenzhong Chen
Scanpath Prediction for Visual Attention using IOR-ROI LSTM, Zhenzhong Chen, Wanjie Sun
Visual Data Synthesis via GAN for Zero-Shot Video Classification, Chenrui Zhang, Yuxin Peng
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification, Chenrui Zhang, Yuxin Peng
Dual Adversarial Networks for Zero-shot Cross-media Retrieval, Jingze Chi, Yuxin Peng
Open Loop Execution of Tree-Search Algorithms, Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson
Cross-media Multi-level Alignment with Relation Attention Network, Jinwei Qi, Yuxin Peng, Yuxin Yuan
Cross-modal Bidirectional Translation via Reinforcement Learning, Jinwei Qi, Yuxin Peng
StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization, Xiangteng He, Yuxin Peng, Junjie Zhao
A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter, Yunwei Zhao, Can Wang, Chi-Hung Chi, Kwok-Yan Lam, Sen Wang
A Simple Convolutional Neural Network for Accurate P300 Detection and Character Spelling in Brain Computer Interface, Hongchang Shan, Yu Liu, Todor Stefanov
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization, Yuxuan Du, Tongliang Liu, Yinan Li, Runyao Duan, Dacheng Tao
Open-Ended Long-form Video Question Answering via Adaptive Hierarchical Reinforced Networks, Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang
SegBot: A Generic Neural Text Segmentation Model with Pointer Network, Jing Li, Aixin Sun, Shafiq Joty
3-in-1 Correlated Embedding via Adaptive Exploration of the Structure and Semantic Subspaces, Liang Yang, Yuanfang Guo, Di Jin, Huazhu Fu, Xiaochun Cao
Robust Face Sketch Synthesis via Generative Adversarial Fusion of Priors and Parametric Sigmoid, Shengchuan Zhang, Rongrong Ji, Jie Hu, Yue Gao, Chia-Wen Lin
SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks, Ke Wang, Xiaojun Wan
Fast Cross-Validation, Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers, Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
Learning based Jump-Diffusion Process for Visual Object Tracking in Video Surveillance, Xiaobai Liu, Thuan Chau, Donovan Lo
Memory Attention Networks for Skeleton-based Action Recognition, Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Jianzhuang Liu
Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach, Wenye Li, Jiawei Zhang, Jianjun Zhou, Laizhong Cui
From Reality to Perception: Genre-Based Neural Image Style Transfer, Zhuoqi Ma, Nannan Wang, Xinbo Gao, Jie Li
Improving Local Search for Minimum Weight Vertex Cover by Dynamic Strategies, Shaowei Cai, Wenying Hou, Jinkun Lin, Yuanjie Li
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction, Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
Episodic Memory Deep Q-Networks, Zichuan Lin, Tianqi Zhao, Guangwen Yang, Lintao Zhang
Democratic Fair Allocation of Indivisible Goods, Erel Segal-Halevi, Warut Suksompong
Your Tweets Reveal What You Like: Introducing Cross-media Content Information into Multi-domain Recommendation, Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma
Deep Propagation Based Image Matting, Yu Wang, Yi Niu, Peiyong Duan, Jianwei Lin, Yuanjie Zheng
Ensemble Soft-Margin Softmax Loss for Image Classification, Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li
Redundancy-resistant Generative Hashing for Image Retrieval, Changying Du, Xingyu Xie, Changde Du, Hao Wang
A Fast Algorithm for Optimally Finding Partially Disjoint Shortest Paths, Longkun Guo, Yunyun Deng, Kewen Liao, Qiang He, Timos Sellis, Zheshan Hu
Improving Information Centrality of a Node in Complex Networks by Adding Edges, Liren Shan, Yuhao Yi, Zhongzhi Zhang
Multi-modal Circulant Fusion for Video-to-Language and Backward, Aming Wu, Yahong Han
Biharmonic Distance Related Centrality for Edges in Weighted Networks, Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang
R^3Net: Recurrent Residual Refinement Network for Saliency Detection, Zijun Deng, Xiaowei Hu, Lei Zhu, Xuemiao Xu, Jing Qin, Guoqiang Han, Pheng-Ann Heng
Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value, Christophe Labreuche, Simon Fossier
Joint Extraction of Entities and Relations Based on a Novel Graph Scheme, Shaolei Wang, Yue Zhang, Wanxiang Che, Ting Liu
Contextual Outlier Interpretation, Ninghao Liu, Donghwa Shin, Xia Hu
Unpaired Multi-Domain Image Generation via Regularized Conditional GANs, Xudong Mao, Qing Li
Multiway Attention Networks for Modeling Sentence Pairs, Chuanqi Tan, Furu Wei, Wenhui Wang, Weifeng Lv, Ming Zhou
Non-translational Alignment for Multi-relational Networks, Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou
GraspNet: An Efficient Convolutional Neural Network for Real-time Grasp Detection for Low-powered Devices, Umar Asif, Jianbin Tang, Stefan Harrer
Multi-modal Sentence Summarization with Modality Attention and Image Filtering, Haoran Li, Junnan Zhu, Jiajun Zhang, Chengqing Zong, Tianshang Liu
Pairwise-Ranking based Collaborative Recurrent Neural Networks for Clinical Event Prediction, Zhi Qiao, Shiwan Zhao, Cao Xiao, Xiang Li, Yong Qin, Fei Wang
An Encoder-Decoder Framework Translating Natural Language to Structural Query Language, Ruichu Cai, Boyan Xu, Zhenjie Zhang, Xiaoyan Yang, Zijian Li, Zhihao Liang
Weakly Learning to Match Experts in Online Community, Yujie Qian, Jie Tang, Kan Wu
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation, Hao Wang, Huawei Shen, Wentao Ouyang, Xueqi Cheng
Efficient Attributed Network Embedding via Recursive Randomized Hashing, Wei Wu, Bin Li, Ling Chen, Chengqi Zhang
Abducing Relations in Continuous Spaces, Taisuke Sato, Katsumi Inoue, Chiaki Sakama
Annotation-Free and One-Shot Learning for Instance Segmentation of Homogeneous Object Clusters, Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, Chi Keung Tang
Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization, Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo
Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents, Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen
View-Volume Network for Semantic Scene Completion from a Single Depth Image, Yuxiao Guo, Xin Tong
Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition, Keke He, Yanwei Fu, Wuhao Zhang, Chengjie Wang, Yu-Gang Jiang, Feiyue Huang, Xiangyang Xue
Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces, Haifang Li, Yingce Xia, Wensheng Zhang
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval, Xiawu Zheng, Rongrong Ji, Xiaoshuai Sun, Yongjian Wu, Feiyue Huang, Yanhua Yang
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction, Dejiang Kong, Fei Wu
Estimating Latent People Flow without Tracking Individuals, Yusuke Tanaka, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, Naonori Ueda
Adversarial Metric Learning, Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li
Deep Text Classification Can be Fooled, Bin Liang, Hongcheng Li, Miaoqiang Su, Pan Bian, Xirong Li, Wenchang Shi
Computational Aspects of the Preference Cores of Supermodular Two-Scenario Cooperative Games, Daisuke Hatano, Yuichi Yoshida
Learning with Adaptive Neighbors for Image Clustering, Yang Liu, Quanxue Gao, Zhaohua Yang, Shujian Wang
Preventing Disparate Treatment in Sequential Decision Making, Hoda Heidari, Andreas Krause
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning, Vladimir Ilievski, Claudiu Musat, Andreea Hossman, Michael Baeriswyl
Submodularity-Inspired Data Selection for Goal-Oriented Chatbot Training Based on Sentence Embeddings , Mladen Dimovski, Vladimir Ilievski, Claudiu Musat, Andreea Hossman, Michael Baeriswyl
Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies, The Anh Han, Simon Lynch, Long Tran-Thanh, Santos Francisco C.
DehazeGAN: When Image Dehazing Meets Differential Programming, Hongyuan Zhu, Xi Peng, Vijay Chandrasekhar, Liyuan Li, Joo-Hwee Lim
A Generic Approach for Accelerating Stochastic Zeroth-Order Convex Optimization, Xiaotian Yu, Irwin King, Michael R. Lyu, Tianbao Yang
A Question Type Driven Framework to Diversify Visual Question Generation, Zhihao Fan, zhongyu wei, Piji Li, Yanyan Lan, Xuanjing Huang
Policy Optimization with Second-Order Advantage Information, Jiajin Li, Baoxiang Wang, Shengyu Zhang
Trajectory-User Linking via Variational AutoEncoder, Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, Fengli Zhang
ANOMALOUS: A Joint Modeling Approach for Anomaly Detection on Attributed Networks, Zhen Peng, Minnan Luo, Jundong Li, Huan Liu, Qinghua Zheng
High Resolution Feature Recovering for Accelerating Urban Scene Parsing, Rui Zhang, Sheng Tang, Luoqi Liu, Yongdong Zhang, Jintao Li, Shuicheng Yan
Inconsistency Measures for Repair Semantics in OBDA, Bruno Yun, Srdjan Vesic, Madalina Croitoru, Pierre Bisquert
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders, Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang
Solving Separable Nonsmooth Problems Using Frank-Wolfe with Uniform Affine Approximations, Edward Cheung, Yuying Li
Human Motion Generation via Cross-Space Constrained Sampling, Zhongyue Huang, Jingwei Xu, Bingbing Ni
Online Continuous-Time Tensor Factorization Based on Pairwise Interactive Point Processes, Hongteng Xu, Dixin Luo, Lawrence Carin
Generating Thematic Chinese Poetry using Conditional Variational Autoencoders with Hybrid Decoders, Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li
Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention, Ling Luo, Xiang Ao, Feiyang Pan, Jin Wang, Tong Zhao, Ningzi Yu, Qing He
Learning Transferable UAV for Forest Visual Perception, Lyujie Chen, Wufan Wang, Jihong Zhu
Distortion-aware CNNs for Spherical Images, Qiang Zhao, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, Yongdong Zhang
Automatic Gating of Attributes in Deep Structure, Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen
Cascaded Low Rank and Sparse Representation on Grassmann Manifolds, Boyue Wang, Yongli Hu, Junbin Gao, Yanfeng Sun, Baocai Yin
Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences, Patrick P. K. Chan, Xian Hu, Lili Zhao, Daniel S. Yeung, Dapeng Liu, Lei Xiao
Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements, Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan
De-biasing Covariance-Regularized Discriminant Analysis, Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian, Zhishan Guo
Complementary Learning of Word Embeddings, Yan Song, Shuming Shi
Watching a Small Portion could be as Good as Watching All: Towards Efficient Video Classification, Hehe Fan, Zhongwen Xu, Linchao Zhu, Chenggang Yan, Jianjun Ge, Yi Yang
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation, Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
Dynamic Hypergraph Structure Learning, Zizhao Zhang, Haojie Lin, Yue Gao
Complementary Binary Quantization for Joint Multiple Indexing, Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation, Sen Su, Li Sun, Zhongbao Zhang, Gen Li, Jielun Qu
Where to Prune: Using LSTM to Guide End-to-end Pruning, Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang
IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection, Yang Qiangpeng, Cheng Mengli, Zhou Wenmeng, Chen Yan, Qiu Minghui, Lin Wei
Knowledge-Embedded Representation Learning for Fine-Grained Image Recognition, Tianshui Chen, Liang Lin, Riquan Chen, Yang Wu, Xiaonan Luo
Deep Attribute Guided Representation for Heterogeneous Face Recognition, Decheng Liu, Nannan Wang, Chunlei Peng, Jie Li, Xinbo Gao
Deep Reasoning with Knowledge Graph for Social Relationship Understanding, Zhouxia Wang, Tianshui Chen, Jimmy Ren, Weihao Yu, Hui Cheng, Liang Lin
Cuckoo Feature Hashing: Dynamic Weight Sharing for Sparse Analytics, Jinyang Gao, Beng Chin Ooi, Yanyan Shen, Wang-Chien Lee
JUMP: a Jointly Predictor for User Click and Dwell Time, Zhou Tengfei, Hui Qian, Zebang Shen, Chao Zhang, Chengwei Wang, Shichen Liu, Wenwu Ou
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples, Danyang Sun, TongZheng Ren, Chongxuan Li, Hang Su, Jun Zhu
Adaboost with Auto-Evaluation for Conversational Models, Juncen Li, Ping Luo, Ganbin Zhou, Fen Lin, Cheng Niu
Generative Adversarial Positive-Unlabelled Learning, Ming Hou, Brahim Chaib-draa, Chao Li, Qibin Zhao
Ceteris paribus majority for social ranking, Adrian Haret, Hossein Khani, Stefano Moretti, Meltem Ozturk
Boosting MCSes Enumeration, Éric Grégoire, Yacine Izza, Jean-Marie Lagniez
Mixed Link Networks, Wenhai Wang, Xiang Li, Tong Lu, Jian Yang
Query Answering in Propositional Circumscription, Mario Alviano
Reasoning about Consensus when Opinions Diffuse through Majority Dynamics, Vincenzo Auletta, Diodato Ferraioli, Gianluigi Greco
Stochastic Fractional Hamiltonian Monte Carlo, Nanyang Ye, Zhanxing Zhu
Semantic Locality-Aware Deformable Network for Clothing Segmentation, Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui
Progressive Blockwise Knowledge Distillation for Neural Network Acceleration, Hui Wang, Hanbin Zhao, Xi Li, Xu Tan
Lifted Filtering via Exchangeable Decomposition, Stefan Lüdtke, Max Schröder, Sebastian Bader, Kristian Kersting, Thomas Kirste
Incomplete Multi-View Weak-Label Learning, Qiaoyu Tan, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
Multi-Label Co-Training, Yuying Xing, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zili Zhang
MEnet: A Metric Expression Network for Salient Object Segmentation, Shulian Cai, Jiabin Huang, Delu Zeng, Xinghao Ding, John Paisley
Parameterised Queries and Lifted Query Answering, Tanya Braun, Ralf Möller
Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement, Yue Hu, Juntao Li, Xi Li, Gang Pan, Mingliang Xu
Improving Deep Neural Network Sparsity through Decorrelation Regularization, Xiaotian Zhu, Wengang Zhou, Houqiang Li
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks, Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
Galaxy Network Embedding: A Hierarchical Community Structure Preserving Approach, Lun Du, Zhicong Lu, Yun Wang, Guojie Song, Yiming Wang, Wei Chen
CR-GAN: Learning Complete Representations for Multi-view Generation, Yu Tian, Xi Peng, Long Zhao, Shaoting Zhang, Dimitris Metaxas
Approval-Based Multi-Winner Rules and Strategic Voting, Martin Lackner, Piotr Skowron
Think Globally, Embed Locally — Locally Linear Meta-embedding of Words, Danushka Bollegala, Kohei Hayashi, Ken-ichi Kawarabayashi
Online Pricing for Revenue Maximization with Unknown Time Discounting Valuations, Weichao Mao, Zhenzhe Zheng, Fan Wu, Guihai Chen
Maximin Share Allocations on Cycles, Zbigniew Lonc, Miroslaw Truszczynski
Power-law Distribution Aware Trust Prediction, Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang
Abstraction of Agents Executing Online and their Abilities in the Situation Calculus, Bita Banihashemi, Giuseppe De Giacomo, Yves Lesperance
Representation Learning for Scene Graph Completion via Jointly Structural and Visual Embedding, Hai Wan, Yonghao Luo, Bo Peng, Wei-Shi Zheng
Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams, Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Bin Chen, Haojie Li, Zhongxuan Luo
A Joint Learning Approach to Intelligent Job Interview Assessment, Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong
Possibilistic ASP Base Revision by Certain Input, Laurent Garcia, Claire Lefèvre, Odile Papini, Igor Stéphan, Eric Würbel
Machine Learning and Constraint Programming for Relational-To-Ontology Schema Mapping, Diego De Uña, Nataliia Rümmele, Graeme Gange, Peter Schachte, Peter J. Stuckey
Matrix completion with Preference Ranking for Top-N Recommendation, Zengmao Wang, Yuhong Guo, Bo Du
On the Complexity of Chore Division, Alireza Farhadi, Mohammad Hajiaghayi
Distributed Primal-Dual Optimization for Non-uniformly Distributed Data, Minhao Cheng, Cho-Jui Hsieh
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making, Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
A Savage-style Utility Theory for Belief Functions, Chunlai Zhou, Biao Qin, Xiaoyong Du
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination, Junjun Jiang, Yi Yu, Jinhui Hu, Suhua Tang, Jiayi Ma
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning, Shaohui Lin, Rongrong Ji, Yuchao Li, Yongjian Wu, Feiyue Huang, Baochang Zhang
Text Emotion Distribution Learning via Multi-Task Convolutional Neural Network, Yuxiang Zhang, Jiamei Fu, Dongyu She, Ying Zhang, Senzhang Wang, Jufeng Yang
Learning Robust Gaussian Process Regression for Visual Tracking, Linyu Zheng, Ming Tang, Jinqiao Wang
Reinforced Self-Attention Network: a Hybrid of Hard and Soft Attention for Sequence Modeling, Tao Shen, Tianyi Zhou, Guodong Long, Jing Jiang, Sen Wang, Chengqi Zhang
Extended Increasing Cost Tree Search for Non-Unit Cost Domains, Thayne Walker, Nathan Sturtevant, Ariel Felner
Optimal Bidding Strategy for Brand Advertising, Takanori Maehara, Atsuhiro Narita, Jun Baba, Takayuki Kawabata
Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification, Zhong Qian, Peifeng Li, Yue Zhang, Guodong Zhou, Qiaoming Zhu
An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems?, Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan
Constructing Narrative Event Evolutionary Graph for Script Event Prediction, Zhongyang Li, Xiao Ding, Ting Liu
Tag-based Weakly-supervised Hashing for Image Retrieval, Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng
Extracting Action Sequences from Texts Based on Deep Reinforcement Learning, Wenfeng Feng, Hankz Hankui Zhuo, Subbarao Kambhampati
PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training, Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen
Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network, Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu
Long-Term Human Motion Prediction by Modeling Motion Context and Enhancing Motion Dynamics, Yongyi Tang, Lin Ma, Wei Liu, Wei-Shi Zheng
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification, Zhao Kang, Xiao Lu, Jinfeng Yi, Zenglin Xu
AAR-CNNs: Auto Adaptive Regularized Convolutional Neural Networks, Yao Lu, Guangming Lu, Yuanrong Xu, Bob Zhang
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation, Hong Shi, Shaojun Pan, Jian Yang, Chen Gong
Neural Machine Translation with Key-Value Memory-Augmented Attention, Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang
Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning, Chen Hui, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han
Does Tail Label Help for Large-Scale Multi-Label Learning, Tong Wei, Yu-Feng Li
TreeNet: Learning Sentence Representations with Unconstrained Tree Structure, Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang
Tri-net for Semi-Supervised Deep Learning, Dong-Dong Chen, Wei Wang, Wei Gao, Zhi-Hua Zhou
Adaptive Graph Guided Embedding for Multi-label Annotation, Lichen Wang, Zhengming Ding, Yun Fu
Scalable Rule Learning via Learning Representation, Pouya Ghiasnezhad Omran, Kewen Wang, Zhe Wang
Efficient Adaptive Online Learning via Frequent Directions, Yuanyu Wan, Nan Wei, Lijun Zhang
Bootstrapping Entity Alignment with Knowledge Graph Embedding, Zequn Sun, Wei Hu, Qingheng Zhang, Yuzhong Qu
Deeply-Supervised CNN Model for Action Recognition with Trainable Feature Aggregation, Yang Li, Kan Li, Xinxin Wang
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following, Siyi Li, Tianbo Liu, Chi Zhang, Dit-Yan Yeung, Shaojie Shen
Progressive Generative Hashing for Image Retrieval, Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu
Truthful Fair Division without Free Disposal, Xiaohui Bei, Guangda Huzhang, Warut Suksompong
Medical Concept Embedding with Time-aware Attention, Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam, Beng Chin Ooi, Ying Zhang, Xiaojie Yuan
Extracting Privileged Information from Untagged Corpora for Classifier Learning, Yazhou Yao, Jian Zhang, Fumin Shen, Wankou Yang, Xian-Sheng Hua, Zhenmin Tang
Cost-Effective Active Learning for Hierarchical Multi-Label Classification, Yi-Fan Yan, Sheng-Jun Huang
Minimizing Adaptive Regret with One Gradient per Iteration, Guanghui Wang, Dakuan Zhao, Lijun Zhang
Age Estimation Using Expectation of Label Distribution Learning, Bin-Bin Gao, Hong-Yu Zhou, Jianxin Wu, Xin Geng
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction, Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan Kankanhalli
Answering Mixed Type Questions about Daily Living Episodes, Taiki Miyanishi, Jun-ichiro Hirayama, Atsunori Kanemura, Motoaki Kawanabe
Bandit Online Learning on Graphs via Adaptive Optimization, Peng Yang, Peilin Zhao, Xin Gao
Robust Auto-Weighted Multi-View Clustering, Pengzhen Ren, Yun Xiao, Pengfei Xu, Jun Guo, Xiaojiang Chen, Xin Wang, Dingyi Fang
R-SVM+: Robust Learning with Privileged Information, Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao
SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation, Tsun-Yi Yang, Yi-Hsuan Huang, Yen-Yu Lin, Pi-Cheng Hsiu, Yung-Yu Chuang
Co-attention CNNs for Unsupervised Object Co-segmentation, Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
On Fair Price Discrimination in Multi-Unit Markets, Michele Flammini, Manuel Mauro, Matteo Tonelli
Code Completion with Neural Attention and Pointer Networks, Jian Li, Yue Wang, Michael R. Lyu, Irwin King
Causal Inference in Time Series via Supervised Learning, Yoichi Chikahara, Akinori Fujino
Student-t Variational Autoencoder for Robust Density Estimation, Hiroshi Takahashi, Tomoharu Iwata, Yuki Yamanaka, Masanori Yamada, Satoshi Yagi
LC-RNN: A Deep Learning Model for Traffic Speed Prediction, Zhongjian Lv, Jiajie Xu, Kai Zheng, Hongzhi Yin, Pengpeng Zhao, Xiaofang Zhou
A Novel Neural Network Model based on Cerebral Hemispheric Asymmetry for EEG Emotion Recognition, Yang Li, Wenming Zheng, Zhen Cui, Tong Zhang, Yuan Zong
Dual Conditional GANs for Face Aging and Rejuvenation, Jingkuan Song, Jingqiu Zhang, Lianli Gao, Xianglong Liu, Heng Tao Shen
Periodic-CRN: A Convolutional Recurrent Model for Crowd Density Prediction with Recurring Periodic Patterns, Ali Zonoozi, Jung Jae Kim, Xiaoli Li, Gao Cong
From Conjunctive Queries to Instance Queries in Ontology-Mediated Querying, Cristina Feier, Carsten Lutz, Frank Wolter
Preference orders on families of sets – when can impossibility results be avoided?, Jan Maly, Miroslaw Truszczynski, Stefan Woltran
Refine or Represent: Residual Networks with Explicit Channel-wise Configuration, Yanyan Shen, Jinyang Gao
Non-decreasing Payment Rules for Combinatorial Auctions, Vitor Bosshard, Ye Wang, Sven Seuken
Active Object Reconstruction Using a Guided View Planner, Xin Yang, Yuanbo Wang, Yaru Wang, Baocai Yin, Qiang Zhang, Xiaopeng Wei, Hongbo Fu
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach, Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
Markov Random Neural Fields for Face Sketch Synthesis, Mingjin Zhang, Nannan Wang, Xinbo Gao, Yunsong Li
A Unified Analysis of Stochastic Momentum Methods for Deep Learning, Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, Yi Yang
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback, Yong Liu, Lifan Zhao, Guimei Liu, Xinyan Lu, Peng Gao, Xiaoli Li, Zhihui Jin
Towards Reading Comprehension for Long Documents, Yuanxing Zhang, Yangbin Zhang, Kaigui Bian, Xiaoming Li
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting, Bing Yu, Haoteng Yin, Zhanxing Zhu
Globally Optimized Mutual Influence Aware Ranking in E-Commerce Search, Tao Zhuang, Wenwu Ou, Zhirong Wang
Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder, Yang Liu, Quanxue Gao, Jin Li, Jungong Han, Ling Shao
Unsupervised Disentangled Representation Learning with Analogical Relations, Zejian Li, Yongchuan Tang, Yongxing He
Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning, Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang
Dynamic Resource Routing using Real-Time Dynamic Programming, Sebastian Schmoll, Matthias Schubert
Multi-Task Clustering with Model Relation Learning, Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo
Integrative Network Embedding via Deep Joint Reconstruction, Di Jin, Meng Ge, Liang Yang, Dongxiao He, Longbiao Wang, Weixiong Zhang
An Adaptive Hierarchical Compositional Model for Phrase Embedding, Bing Li, Xiaochun Yang, Bin Wang, Wei Wang, Wei Cui, Xianchao Zhang
Finding Communities with Hierarchical Semantics by Distinguishing General and Specialized topics, Ge Zhang, Di Jin, Jian Gao, Pengfei Jiao, Françoise Fogelman-Soulié, Xin Huang
ACV-tree: A New Method for Sentence Similarity Modeling, Yuquan Le, Zhi-Jie Wang, Zhe Quan, Jiawei He, Bin Yao
Localized Incomplete Multiple Kernel k-means, Xinzhong Zhu, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Zhiping Cai, Jianping Yin, Wen Gao
NeuRec: On Nonlinear Transformation for Personalized Ranking, Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong
Traffic Light Scheduling, Value of Time, and Incentives, Argyrios Deligkas, Erez Karpas, Ron Lavi, Rann Smorodinsky
SafeNet: Scale-normalization and Anchor-based Feature Extraction Network for Person Re-identification, Kun Yuan, Qian Zhang, Chang Huang, Shiming Xiang, Chunhong Pan
Chinese Poetry Generation with a Working Memory Model, Xiaoyuan Yi, Maosong Sun, Ruoyu Li, Zonghan Yang
A Normalized Convolutional Neural Network for Guided Sparse Depth Upsampling, Jiashen Hua, Xiaojin Gong
Pseudo-Boolean Constraints from a Knowledge Representation Perspective, Daniel Le Berre, Pierre Marquis, Stefan Mengel, Romain Wallon
Expectation Optimization with Probabilistic Guarantees in POMDPs with Discounted-Sum Objectives, Krishnendu Chatterjee, Adrián Elgyütt, Petr Novotný, Owen Rouillé
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation, Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng
Scalable Multiplex Network Embedding, Hongming Zhang, Liwei Qiu, Lingling Yi, Yangqiu Song
Efficient Pruning of Large Knowledge Graphs, Stefano Faralli, Irene Finocchi, Simone Paolo Ponzetto, Paola Velardi
Approximating Word Ranking and Negative Sampling for Word Embedding, Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang
Strategyproof and Fair Matching Mechanism for Union of Symmetric M-convex Constraints, Yuzhe Zhang, Kentaro Yahiro, Nathanael Barrot, Makoto Yokoo
DeepTravel: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision, Hanyuan Zhang, Hao Wu, Weiwei Sun, Baihua Zheng
Brain-inspired Balanced Tuning for Spiking Neural Networks, Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu
Two Sides of the Same Coin: Belief Revision and Enforcing Arguments, Adrian Haret, Johannes P. Wallner, Stefan Woltran
Automata-Theoretic Foundations of FOND Planning for LTLf and LDLf Goals, Giuseppe De Giacomo, Sasha Rubin
Embracing Change by Abstraction Materialization Maintenance for Large ABoxes, Markus Brenner, Birte Glimm
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision, Hanmo Wang, Xiaojun Chang, Lei Shi, Yi Yang, Yi-Dong Shen
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation, Ariel Rosenfeld, Oleg Maximov, Sarit Kraus
A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms, Chao Bian, Chao Qian, Ke Tang
Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval, Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen
DELF: A Dual-Embedding based Deep Latent Factor Model for Recommendation, Weiyu Cheng, Yanyan Shen, Yanmin Zhu, Linpeng Huang
Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency, Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan
Mixture of GANs for Clustering, Yang Yu, Wen-Ji Zhou
An Exact Algorithm for Maximum k-Plexes in Massive Graphs, Jian Gao, Jiejiang Chen, Minghao Yin, Rong Chen, Yiyuan Wang
Regularizing Deep Neural Networks with an Ensemble-based Decorrelation Method, Shuqin Gu, Yuexian Hou, Lipeng Zhang, Yazhou Zhang
Classification Transfer for Qualitative Reasoning Problems, Manuel Bodirsky, Peter Jonsson, Barnaby Martin, Antoine Mottet
Collaborative Learning for Weakly Supervised Object Detection, Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang
Robust Feature Selection on Incomplete Data, Wei Zheng, Xiaofeng Zhu, Yonghua Zhu, Shichao Zhang
An Information Theory based Approach to Multisource Clustering, Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei, Antoine Cornuéjols
DMC: A Distributed Model Counter, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment, Guolong Wang, Junchi Yan, Zheng Qin
Adversarially Regularized Graph Autoencoder for Graph Embedding, Shirui Pan, Ruiqi Hu, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang
Semi-Supervised Optimal Margin Distribution Machines, Teng Zhang, Zhi-Hua Zhou
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach, Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Multiwinner Voting with Fairness Constraints, Elisa Celis, Lingxiao Huang, Nisheeth Vishnoi
Scalable Initial State Interdiction for Factored MDPs, Swetasudha panda, Yevgeniy Vorobeychik
When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach, Ding Liu, Bihan Wen, Xianming Liu, Zhangyang Wang, Thomas Huang
A fast algorithm for generalized arc consistency of the alldifferent constraint, Xizhe Zhang, Qian Li, Weixiong Zhang
Transformable Convolutional Neural Network for Text Classification, Liqiang Xiao, Honglun Zhang, Wenqing Chen, Yongkun Wang, Yaohui Jin
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty, Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier
Deep Multi-View Concept Learning, Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang
Optimization based Layer-wise Magnitude-based Pruning for DNN Compression, Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang
Learning Conceptual Space Representations of Interrelated Concepts, Zied Bouraoui, Steven Schockaert
Siamese CNN-BiLSTM Architecture for 3D Shape Representation Learning, Guoxian Dai, Jin Xie, Yi Fang
Verifying Emergence of Bounded Time Properties in Probabilistic Swarm Systems, Alessio Lomuscio, Edoardo Pirovano
Small undecidable problems in epistemic planning, Sébastien Lê Cong, Sophie Pinchinat, François Schwarzentruber
Cross-Modality Person Re-Identification with Generative Adversarial Training, Pingyang Dai, Rongrong Ji, Haibin Wang, Qiong Wu, Yuyu Huang
Algorithms for the Nearest Assignment Problem, Sara Rouhani, Tahrima Rahman, Vibhav Gogate
Densely Connected CNN with Multi-scale Feature Attention for Text Classification, Shiyao Wang, Minlie Huang, Zhidong Deng
Towards Enabling Binary Decomposition for Partial Label Learning, Xuan Wu, Min-Ling Zhang
Sequential Recommender System based on Hierarchical Attention Networks, Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying, Andre Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter
On the Satisfiability Threshold of Random Community-Structured SAT, Dina Barak-Pelleg, Daniel Berend
Dynamic Network Embedding : An Extended Approach for Skip-gram based Network Embedding, Lun Du, Yun Wang, Guojie Song, Zhicong Lu, Junshan Wang
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection, Chao Qian, Yang Yu, Ke Tang
Inferring Temporal Knowledge for Near-Periodic Recurrent Events, Dinesh Raghu, Surag Nair, Mausam .
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks, Tianyi Hao, Longbo Huang
Cost-aware Cascading Bandits, Ruida Zhou, Chao Gan, Jing Yang, Cong Shen
Online Kernel Selection via Incremental Sketched Kernel Alignment, Xiao Zhang, Shizhong Liao
Best-Case and Worst-Case Behavior of Greedy Best-First Search, Manuel Heusner, Thomas Keller, Malte Helmert
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them, Antonio Rago, Oana Cocarascu, Francesca Toni
Ex-post IR dynamic auctions with cost-per-action payments, Weiran Shen, Zihe Wang, Song Zuo
Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks, Xian Teng, Muheng Yan, Ali Mert Ertugrul, Yu-Ru Lin
Belief Update in the Horn Fragment, Nadia Creignou, Adrian Haret, Odile Papini, Stefan Woltran
Meta-Level Control of Anytime Algorithms with Online Performance Prediction, Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
Probabilistic Verification for Obviously Strategyproof Mechanisms, Diodato Ferraioli, Carmine Ventre
Multi-Agent Path Finding with Deadlines, Hang Ma, Glenn Wagner, Ariel Felner, Jiaoyang Li, T. K. Satish Kumar, Sven Koenig
On the convergence properties of a $K$-step averaging stochastic gradient descent algorithm for nonconvex optimization, Fan Zhou, Guojing Cong
Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning, Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu
Ranking Preserving Nonnegative Matrix Factorization, Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi
Curriculum Adversarial Training, Qi-Zhi Cai, Chang Liu, Dawn Song
Sampling for Approximate Bipartite Network Projection, Nesreen Ahmed, Nick Duffield, Liangzhen Xia
Service Exchange Problem, Julien Lesca, Taiki Todo
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process, Ruocheng Guo, Jundong Li, Huan Liu
Equilibrium Behavior in Competing Dynamic Matching Markets, Zhuoshu Li, Neal Gupta, Sanmay Das, John Dickerson
Computational Social Choice Meets Databases, Benny Kimelfeld, Phokion Kolaitis, Julia Stoyanovich
The Promise and Perils of Myopia in Dynamic Pricing With Censored Information, Meenal Chhabra, Sanmay Das, Ilya Ryzhov
Ensemble Neural Relation Extraction with Adaptive Boosting, Dongdong Yang, Senzhang Wang, Zhoujun Li
Enhancing Existential Rules by Closed-World Variables, Giovanni Amendola, Nicola Leone, Marco Manna, Pierfrancesco Veltri
Geometric Enclosing Networks, Trung Le, Hung Vu, Tu Dinh Nguyen, Dinh Phung
An Efficient Algorithm To Compute Distance Between Lexicographic Preference Trees, Minyi Li, Borhan Kazimipour
Binary Coding based Label Distribution Learning, Ke Wang, Xin Geng
Adversarial Active Learning for Sequences Labeling and Generation, Yue Deng, KaWai Chen, Yilin Shen, Hongxia Jin
Recurrent Deep Multiagent Q-Learning for Autonomous Brokers in Smart Grid, Yaodong Yang, Jianye Hao, Mingyang Sun, Zan Wang, Changjie Fan, Goran Strbac
On Q-learning Convergence for Non-Markov Decision Processes, Sultan Javed Majeed, Marcus Hutter
Achieving Non-Discrimination in Prediction, Lu Zhang, Yongkai Wu, Xintao Wu
What game are we playing? End-to-end learning in normal and extensive form games, Chun Kai Ling, Fei Fang, J. Zico Kolter
Bayesian Active Edge Evaluation on Expensive Graphs, Sanjiban Choudhury, Siddhartha Srinivasa, Sebastian Scherer
Adversarial Constraint Learning for Structured Prediction, Hongyu Ren, Russell Stewart, Jiaming Song, Volodymyr Kuleshov, Stefano Ermon
EZLearn: Exploiting Organic Supervision in Automated Data Annotation, Maxim Grechkin, Hoifung Poon, Bill Howe
Deep Reinforcement Learning in Ice Hockey for Context-Aware Player Evaluation, Guiliang Liu, Oliver Schulte
Incrementally Grounding Expressions for Spatial Relations between Objects, Tiago Mota, Mohan Sridharan
3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations, Zhihua Wang, Stefano Rosa, Bo Yang, Sen Wang, Niki Trigoni, Andrew Markham
Iterative Metric Learning for Imbalance Data Classification, Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao
Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection, Xiao Dong, Lei Zhu, Xuemeng Song, Jingjing Li, Zhiyong Cheng
Synthesizing Pattern Programs from Examples, Sunbeom So, Hakjoo Oh
A Novel Strategy for Active Task Assignment in Crowd Labeling, Zehong Hu, Jie Zhang
CSNN: An Augmented Spiking based Framework with Perceptron-Inception, Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan
Counterfactual Resimulation for Causal Analysis of Rule-Based Models, Jonathan Laurent, Jean Yang, Walter Fontana
Multinomial Logit Bandit with Linear Utility Functions, Mingdong Ou, Nan Li, Shenghuo Zhu, Rong Jin
Joint Learning Embeddings for Chinese Words and their Components via Ladder Structured Networks, Yan Song, Shuming Shi, Jing Li
Learning Deep Unsupervised Binary Codes for Image Retrieval, Chen Junjie, William K. Cheung, Anran Wang
Instance weighting with applications to cross-domain text classification via trading off sample selection bias and variance, Rui Xia, Zhenchun Pan, Feng Xu
Simultaneous Clustering and Ranking from Pairwise Comparisons, Jiyi Li, Yukino Baba, Hisashi Kashima
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering, Quangui Zhang, Longbing Cao, Chengzhang Zhu, Zhiqiang Li, Jinguang Sun
LSTM Networks for Online Cross-Network Recommendations, Dilruk Perera, Roger Zimmermann
Outer Product-based Neural Collaborative Filtering, Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua
Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes, Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang
Automatic Opioid User Detection from Twitter: Transductive Ensemble Built on Different Meta-graph Based Similarities over Heterogeneous Information Network, Yujie Fan, Yiming Zhang, Yanfang Ye, Xin Li
Label Enhancement for Label Distribution Learning, Ning Xu, An Tao, Xin Geng
Generative Warfare Nets: Ensemble via Adversaries and Collaborators, Honglun Zhang, Liqiang Xiao, Wenqing Chen, Yongkun Wang, Yaohui Jin
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss, Qi Dou, Cheng Ouyang, Cheng Chen, Hao Chen, Pheng-Ann Heng
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks, Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference, Chuxu Zhang, Lu Yu, Xiangliang Zhang, Nitesh Chawla
Label Embedding Based on Multi-Scale Locality Preservation, Cheng-Lun Peng, An Tao, Xin Geng
Generalization Bounds for Regularized Pairwise Learning, Yunwen Lei, Shao-Bo Lin, Ke Tang
Adversarial Attribute-Image Person Re-identification, Zhou Yin, Wei-Shi Zheng, Ancong Wu, Hong-Xing Yu, Hai Wan, Xiaowei Guo, Feiyue Huang, Jianhuang Lai
Dynamic Fair Division Problem with General Valuations, Bo Li, Wenyang Li, Yingkai Li
Semi-Supervised Multi-Modal Learning with Incomplete Modalities, Yang Yang, De-Chuan Zhan, Xiang-Rong Sheng, Yuan Jiang
Enhanced-alignment Measure for Binary Foreground Map Evaluation, Deng-Ping Fan, Cheng Gong, Yang Cao, Bo Ren, Ming-Ming Cheng, Ali Borji
Online Deep Learning: Learning Deep Neural Networks on the Fly, Doyen Sahoo, Quang Pham, Jing Lu, Steven C. H. Hoi
Feature Integration with Adaptive Importance Maps for Visual Tracking, Aishi Li, Ming Yang, Wanqi Yang
Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data, Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen
Convolutional Memory Blocks for Depth Data Representation Learning, Keze Wang, Liang Lin, Chuangjie Ren, Wei Zhang, Wenxiu Sun
SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing, Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-shun Xu
Towards Generalized and Efficient Metric Learning on Riemannian Manifold, Pengfei Zhu, Hao Cheng, Qinghua Hu, Qilong Wang, Changqing Zhang
A Multi-task Learning Approach for Image Captioning, Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao
Aspect Term Extraction with History Attention and Selective Transformation, Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang
Teaching Machines to Ask Questions, Kaichun Yao, Libo Zhang, Tiejian Luo, Lili Tao, Yanjun Wu
Beyond Similar and Dissimilar Relations : A Kernel Regression Formulation for Metric Learning, Pengfei Zhu, Ren Qi, Qinghua Hu, Qilong Wang, Changqing Zhang, Liu Yang
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism, Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan
On Whom Should I Perform this Lab Test Next? An Active Feature Elicitation Approach, Sriraam Natarajan, Srijita Das, Nandini Ramanan, Gautam Kunapuli, Predrag Radivojac
Fast Vehicle Identification in Surveillance via Ranked Semantic Sampling Based Embedding, Feng Zheng, Xin Miao, Heng Huang
Interpretable Drug Target Prediction Using Deep Neural Representation, Yingkai Gao, Achille Fokoue, Heng Luo, Arun Iyengar, Sanjoy Dey, Ping Zhang
Personality-Aware Personalized Emotion Recognition from Physiological Signals, Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao
Multi-modality Sensor Data Classification with Selective Attention, Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang
Three-Head Neural Network Architecture for Monte Carlo Tree Search, Chao Gao, Martin Mueller, Ryan Hayward
Unsupervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning, Ning Zhang, Junchi Yan, Yucheng Zhou
Estimation with Incomplete Data: The Linear Case, Karthika Mohan, Felix Thoemmes, Judea Pearl
Enhancing Semantic Representations of Bilingual Word Embeddings with Syntactic Dependencies, Linli Xu, Wenjun Ouyang, Xiaoying Ren, Yang Wang, Liang Jiang
Organizing experience: a deeper look at replay mechanisms for sample-based planning in continuous state domains, Yangchen Pan, Muhammad Zaheer, Adam White, Andrew Patterson, Martha White
Time-evolving Text Classification with Deep Neural Networks, Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng
Doubly Aligned Incomplete Multi-view Clustering, Menglei Hu, Songcan Chen
Energy-efficient Amortized Inference with Cascaded Deep Classifiers, Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling, Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo
Layered Optical Flow Estimation Using a Deep Neural Network with a Soft Mask, Xi Zhang, Di Ma, Xu Ouyang, Shanshan Jiang, Lin Gan, Gady Agam
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer, Xiaocheng Feng, Xiachong Feng, Bing Qin, Zhangyin Feng, Ting Liu
Topic-to-Essay Generation with Neural Networks, Xiaocheng Feng, Ming Liu, Jiahao Liu, Bing Qin, Yibo Sun, Ting Liu
Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation, Lujun Zhao, Qi Zhang, Peng Wang, Xiaoyu Liu
Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error, Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang
GELU-Net: A Globally Encrypted, Locally Unencrypted Deep Neural Network for Privacy-Preserved Learning, Qiao Zhang, Cong Wang, Hongyi Wu, Chunsheng Xin, Tran V. Phuong
Deep learning based multi-modal addressee recognition in visual scenes with utterances, Thao Le Minh, Nobuyuki Shimizu, Takashi Miyazaki, Koichi Shinoda
Faster Training Algorithms for Structured Sparsity-Inducing Norm, Bin Gu, Xingwang Ju, Xiang Li, Guansheng Zheng
Learning to Explain Ambiguous Headlines of Online News, Tianyu Liu, Wei Wei, Xiaojun Wan
A Fast and Accurate Method for Estimating People Flow from Spatiotemporal Population Data, Yasunori Akagi, Takuya Nishimura, Takeshi Kurashima, Hiroyuki Toda
Hybrid Approach of Relation Network and Localized Graph Convolutional Filtering for Breast Cancer Subtype Classification, Sungmin Rhee, Seokjun Seo, Sun Kim
Discrete Factorization Machines for Fast Feature-based Recommendation, Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents, Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang
A Non-Parametric Generative Model for Human Trajectories, Kun Ouyang, Reza Shokri, David Rosenblum, Wenzhuo Yang
Coarse-to-fine Image Co-segmentation with Intra and Inter Rank Constraints, Lianli Gao, Jingkuan Song, Dongxiang Zhang, Heng Tao Shen
Phrase Table as Recommendation Memory for Neural Machine Translation, Yang Zhao, Yining Wang, Jiajun Zhang, Chengqing Zong
Pairwise Liquid Democracy, Markus Brill, Nimrod Talmon
From Pixels to Objects: Cubic Visual Attention for Visual Question Answering, Jingkuan Song, Pengpeng Zeng, Lianli Gao, Heng Tao Shen
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization, Li Wang, Junlin Yao, Yunzhe Tao, Li Zhong, Wei Liu, Qiang Du
Opinion Diffusion and Campaigning on Society Graphs, Piotr Faliszewski, Rica Gonen, Martin Koutecký, Nimrod Talmon
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation, Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
Accelerated Asynchronous Greedy Coordinate Descent Algorithm for SVMs, Bin Gu, Yingying Shan, Xiang Geng, Guansheng Zheng
Multiwinner Voting with Restricted Admissible Sets: Complexity and Strategyproofness, Yongjie Yang, Jianxin Wang
Exact Algorithms and Complexity of Kidney Exchange, Mingyu Xiao, Xuanbei Wang
Hermitian Co-Attention Networks for Text Matching in Asymmetrical Domains, Yi Tay, Anh Tuan Luu, Siu Cheung Hui
Point Set Registration for Unsupervised Bilingual Lexicon Induction, Hailong Cao, Tiejun Zhao
Fact Checking via Evidence Patterns, Valeria Fionda, Giuseppe Pirrò
Self-Adaptive Double Bootstrapped DDPG, Zhuobin Zheng, Chun Yuan, Zhihui Lin, Yangyang Cheng, Hanghao Wu
Probabilistic bipolar abstract argumentation frameworks: complexity results, Bettina Fazzinga, Sergio Flesca, Filippo Furfaro
Multi-agent Epistemic Planning with Common Knowledge, Qiang Liu, Yongmei Liu
Unifying and Merging Deep Neural Networks in Inference Stage, Yi-Min Chou, Yi-Ming Chan, Jia-Hong Lee, Chih-Yi Chiu, Chu-Song Chen
Deep Discrete Prototype Multilabel Learning, Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor Tsang
Domain Adaptation via Tree Kernel Based Maximum Mean Discrepancy for User Consumption Intention Identification, Xiao Ding, Bibo Cai, Ting Liu, Qiankun Shi
Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation, Duc-Trong Le, Hady W. Lauw, Yuan Fang
Commonsense Knowledge Aware Conversation Generation with Graph Attention, Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu
From the Periphery to the Core: Information Brokerage in an Evolving Network, Bo Yan, Yiping Liu, Jiamou Liu, Yijin Cai, Hongyi Su, Hong Zheng
Virtual-to-Real: Learning to Control in Visual Semantic Segmentation, Zhang-Wei Hong, Chen Yu-Ming, Hsuan-Kung Yang, Shih-Yang Su, Tzu-Yun Shann, Yi-Hsiang Chang, Brian Hsi-Lin Ho, Chih-Chieh Tu, Tsu-Ching Hsiao, Sih-Pin Lai, Hsin-Wei Hsiao, Yueh-Chuan Chang, Chun-Yi Lee
Model Checking Probabilistic Epistemic Logic for Probabilistic Multiagent Systems, Chen Fu, Andrea Turrini, Xiaowei Huang, Lei Song, Yuan Feng, Lijun Zhang
Neural Networks for Predicting Algorithm Runtime Distributions, Katharina Eggensperger, Marius Lindauer, Frank Hutter
Online Heterogeneous Transfer Metric Learning, Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao
Listen, Think and Listen Again: Capturing Top-down Auditory Attention for Speaker-independent Speech Separation, Jing Shi, Jiaming Xu, Guangcan Liu, Bo Xu
A Bayesian Latent Variable Model of User Preferences with Item Context, Aghiles Salah, Hady W. Lauw
Sequence Selection by Pareto Optimization, Chao Qian, Chao Feng, Ke Tang
Distance Metric Facilitated Transportation between Heterogeneous Domains, Han-Jia Ye, Xiang-Rong Sheng, De-Chuan Zhan, Peng He
Game Description Language and Dynamic Epistemic Logic Compared, Thorsten Engesser, Robert Mattmüller, Bernhard Nebel, Michael Thielscher
A Hierarchical End-to-End Model for Jointly Improving Text Summarization and Sentiment Classification, Shuming Ma, Xu Sun, Junyang Lin, Xuancheng Ren
Active Recurrence of Lighting Condition for Fine-Grained Change Detection, Qian Zhang, Wei Feng, Liang Wan, Fei-Peng Tian, Ping Tian
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback, Kun Chen, Kechao Cai, Longbo Huang, John C.S. Lui
Toward Diverse Text Generation with Inverse Reinforcement Learning, Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang
Mitigating the Effect of Out-of-Vocabulary Entity Pairs in Matrix Factorization for KB Inference, Prachi Jain, Shikhar Murty, Mausam ., Soumen Chakrabarti
Symbolic Synthesis of Fault-Tolerance Ratios in Parameterised Multi-Agent Systems, Panagiotis Kouvaros, Alessio Lomuscio, Edoardo Pirovano
Stochastic Anytime Search for Bounding Marginal MAP, Radu Marinescu, Rina Dechter, Alexander Ihler
Fine-grained Image Classification by Visual-Semantic Embedding, Huapeng Xu, Guilin Qi, Jingjing Li, Meng Wang, Kang Xu, Huan Gao
Spectral feature scaling method for supervised dimensionality reduction, Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Double Auctions in Markets for Multiple Kinds of Goods, Erel Segal-Halevi, Avinatan Hassidim, Yonatan Aumann
Synthesis of Controllable Nash Equilibria in Games with Quantitative Objectives, Orna Kupferman, Giuseppe Perelli, Shaull Almagor
When Rigging a Tournament, Let Greediness Blind You, Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi
Deterministic Binary Filters for Convolutional Neural Networks, Vincent W.-S. Tseng, Sourav Bhattacharya, Javier Fernandez Marques, Milad Alizadeh, Catherine Tong, Nicholas D. Lane
Socially Motivated Partial Cooperation in Multi-agent Local Search, Tal Ze’evi, Roie Zivan, Omer Lev
A Framework for Constraint Based Local Search using Essence, Özgür Akgün, Saad Attieh, Ian P Gent, Christopher Jefferson, Ian Miguel, Peter Nightingale, András Z Salamon, Patrick Spracklen, James Wetter
Reasoning about Betweenness and RCC8 Constraints in Qualitative Conceptual Spaces, Steven Schockaert, Sanjiang Li
Reverse Engineering Queries in Ontology-Enriched Systems: The Case of Expressive Horn Description Logic Ontologies, Víctor Gutiérrez-Basulto, Jean Christoph Jung, Leif Sabellek
Extracting Job Title Hierarchy from Career Trajectories: A Bayesian Perspective, Huang Xu, Zhiwen Yu, Bin Guo, Mingfei Teng, Hui Xiong
An Empirical Study of Knowledge Tradeoffs in Case-Based Reasoning, Devi Ganesan, Sutanu Chakraborti
High-dimensional Similarity Learning via Dual-sparse Random Projection, Dezhong Yao, Peilin Zhao, Tuan-Anh Nguyen Pham, Gao Cong
Learning Tag Dependencies for Sequence Tagging, Yuan Zhang, Hongshen Chen, Yihong Zhao, Qun Liu, Dawei Yin
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks, Xiaotian Han, Chuan Shi, Senzhang Wang, Philip Yu, Song Li
Leveraging Qualitative Reasoning to Improve SFL, Alexandre Perez, Rui Abreu
Effect-Abstraction Based Relaxation for Linear Numeric Planning, Dongxu Li, Enrico Scala, Patrik Haslum, Sergiy Bogomolov
Multi-task Layout Analysis for Historical Handwritten Documents Using Fully Convolutional Networks, Yue Xu, Fei Yin, Zhaoxiang Zhang, Cheng-Lin Liu
Hybrid Listwise-Pairwise Recommendation Algorithm from Implicit Feedback, Yunzhou Zhang, Runlong Yu, Ke Tang
Multi-Level Policy and Reward Reinforcement Learning for Image Captioning, Anan Liu, Ning Xu, Hanwang Zhang, Weizhi Nie, Yuting Su, Yongdong Zhang
An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation, Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, Sunghoon Hong
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks, Peizhi Wu, Yi Tu, Xiaojie Yuan, Adam Jatowt, Zhenglu Yang
Leadership in Singleton Congestion Games, Alberto Marchesi, Stefano Coniglio, Nicola Gatti
Path Evaluation and Centralities in Weighted Graphs – An Axiomatic Approach, Jadwiga Sosnowska, Oskar Skibski
Axiomatization of the PageRank Centrality, Tomasz Wąs, Oskar Skibski
Discrete Network Embedding, Xiaobo Shen, Shirui Pan, Weiwei Liu, Yew-Soon Ong, Quan-Sen Sun
Do not Lose the Details: Reinforced Representation Learning for High Performance Visual Tracking, Qiang Wang, Mengdan Zhang, Junliang Xing, Jin Gao, Weiming Hu, Steve Maybank
HCR-Net: A hybrid of classification and regression network for object pose estimation, Zairan Wang, Weiming Li, Yueying Kao, Dongqing Zou, Qiang Wang, Minsu Ahn, Sunghoon Hong
Cross-Domain 3D Model Retrieval via Visual Domain Adaption, Anan Liu, Shu Xiang, Wenhui Li, Weizhi Nie, Yuting Su
Computing the Schulze Method for Large-Scale Preference Data Sets, Theresa Csar, Martin Lackner, Reinhard Pichler
Deontic Sensors, Julian Padget, Marina De Vos, Charlie Ann Page
Hierarchical Graph Structure Learning for Multi-View 3D Model Retrieval, Yuting Su, Wenhui Li, Anan Liu, Weizhi Nie
Novel Algorithms for Abstract Dialectical Frameworks based on Complexity Analysis of Subclasses and SAT Solving, Thomas Linsbichler, Marco Maratea, Andreas Niskanen, Johannes P. Wallner, Stefan Woltran
A Property Testing Framework for the Theoretical Expressivity of Graph Kernels, Nils M. Kriege, Christopher Morris, Anja Rey, Christian Sohler
Payoff Control in the Iterated Prisoner’s Dilemma, Dong Hao, Kai Li, Tao Zhou
Winning a Tournament by Any Means Necessary, Sushmita Gupta, Sanjukta Roy, Saket Saurabh, Meirav Zehavi
Functional Partitioning of Ontologies for Natural Language Query Completion in Question Answering Systems, Jaydeep Sen, Ashish Mittal, Diptikalyan Saha, Karthik Sankaranarayanan
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning, Long Yang, Minhao Shi, Qian Zheng, Wenjia Meng, Gang Pan
Robust Norm Emergence by Revealing and Reasoning about Context: Socially Intelligent Agents for Enhancing Privacy, Nirav Ajmeri, Hui Guo, Pradeep K. Murukannaiah, Munindar Singh
One “Ruler” for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning, Xiaowei Tong, Zhenxin Fu, Mingyue Shang, Dongyan Zhao, Rui Yan
Customer Sharing in Economic Networks with Costs, Bin Li, Dong Hao, Dengji Zhao, Tao Zhou
Finite Model Reasoning in Hybrid Classes of Existential Rules, Georg Gottlob, Marco Manna, Andreas Pieris
Image-level to Pixel-wise Labeling: From Theory to Practice, Tiezhu Sun, Wei Zhang, Zhijie Wang, Lin Ma, Zequn Jie
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks, Feiwu Yu, Xinxiao Wu, Yuchao Sun, Lixin Duan
Conflict Directed Clause Learning for Maximum Weighted Clique Problem, Emmanuel Hebrard, George Katsirelos
Transition-based Adversarial Network for Cross-lingual Aspect Extraction, Wenya Wang, Sinno Jialin Pan
Algorithms or Actions? A Study in Large-Scale Reinforcement Learning, Anderson Rocha Tavares, Sivasubramanian Anbalagan, Leandro Soriano Marcolino, Luiz Chaimowicz
Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training, Huihui Wei, Ming Li
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization, Zheng Xie, Ming Li
Multi-scale and Discriminative Part Detectors Based Features for Multi-label Image Classification, Gong Cheng, Decheng Gao, Yang Liu, Junwei Han
Alternating-time Temporal Logic on Finite Traces, Francesco Belardinelli, Alessio Lomuscio, Aniello Murano, Sasha Rubin
Leveraging Latent Label Distributions for Partial Label Learning, Lei Feng, BO AN
DyNMF: Role Analytics in Dynamic Social Networks, Yulong Pei, Jianpeng Zhang, George Fletcher, Mykola Pechenizkiy
Representing Urban Functions through Zone Embedding with Human Mobility Patterns, Zijun Yao, Yanjie Fu, Bin Liu, Wangsu Hu, Hui Xiong
On the efficiency of data collection for crowdsourced classification, Edoardo Manino, Long Tran-Thanh, Nicholas R. Jennings
NeuCast: Seasonal Neural Forecast of Power Grid Time Series, Pudi Chen, Shenghua Liu, Chuan Shi, Bryan Hooi, Bai Wang, Xueqi Cheng
Computing Approximate Query Answers over Inconsistent Knowledge Bases, Sergio Greco, Cristian Molinaro, Irina Trubitsyna
Methods for off-line/on-line optimization under uncertainty, Allegra De Filippo, Michele Lombardi, Michela Milano
Consequence-based Reasoning for Description Logics with Disjunction, Inverse Roles, Number Restrictions, and Nominals, David Tena Cucala, Bernardo Cuenca Grau, Ian Horrocks
CAGAN: Consistent Adversarial Training Enhanced GANs, Yao Ni, Dandan Song, Xi Zhang, Hao Wu, Lejian Liao
Single-Shot Epistemic Logic Program Solving, Manuel Bichler, Michael Morak, Stefan Woltran
Interactive Optimal Teaching with Unknown Learners, Francisco Melo, Carla Guerra, Manuel Lopes
Simpler and Faster Algorithm for Checking the Dynamic Consistency of Conditional Simple Temporal Networks, Luke Hunsberger, Roberto Posenato
Unchaining the Power of Partial Delete Relaxation, Part II: Finding Plans with Red-Black State Space Search, Maximilian Fickert, Daniel Gnad, Joerg Hoffmann
Combining Opinion Pooling and Evidential Updating for Multi-Agent Consensus, Chanelle Lee, Jonathan Lawry, Alan Winfield
NPE: Neural Personalized Embedding for Collaborative Filtering, ThaiBinh Nguyen, Atsuhiro Takasu
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection, Xingxing Zhang, Zhenfeng Zhu, Yao Zhao, Deqiang Kong
Multi-Level Metric Learning via Smoothed Wasserstein Distance, Jie Xu, Lei Luo, Cheng Deng, Heng Huang
Budget-feasible Procurement Mechanisms in Two-sided Markets, Weiwei Wu, Xiang Liu, Minming Li
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks, Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou
Computational Approaches for Stochastic Shortest Path on Succinct MDPs, Krishnendu Chatterjee, Hongfei Fu, Amir Goharshady, Nastaran Okati
Emergency Response Optimization using Online Hybrid Planning, Durga Harish Dayapule, Aswin Raghavan, Prasad tadepalli, Alan Fern
New Balanced Active Learning Model and Optimization Algorithm, Xiaoqian Wang, Yijun Huang, Ji Liu, Heng Huang
Z-Transforms and its inference on partially observable point processes, Young Lee, Thanh Vinh Vo, Kar Wai Lim, Harold Soh
Robust Multi-view Learning via Half-quadratic Minimization, Yonghua Zhu, Xiaofeng Zhu, Wei Zheng
Features, Projections, and Representation Change for Generalized Planning, Blai Bonet, Hector Geffner
Master-Slave Curriculum Design for Reinforcement Learning, Yuechen Wu, Wei Zhang, Ke Song
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network, Dongliang Liao, Weiqing Liu, Yuan Zhong, Jing Li, Guowei Wang
Trembling-Hand Perfection in Extensive-Form Games with Commitment, Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Local Minima, Heavy Tails, and Search Effort for GBFS, Eldan Cohen, J. Christopher Beck
Solving Patrolling Problems in the Internet Environment, Tomas Brazdil, Antonin Kucera, Vojtech Rehak
Fast Model Identification via Physics Engines for Data-Efficient Policy Search, Shaojun Zhu, Andrew Kimmel, Kostas Bekris, Abdeslam Boularias
Facility Reallocation on the Line, Bart de Keijzer, Dominik Wojtczak
Video Captioning with Tube Features, Xuelong Li, Bin Zhao, Xiaoqiang Lu
Negotiation Strategies for Agents with Ordinal Preferences, Sefi Erlich, Noam Hazon, Sarit Kraus
High-Order Co-Clustering via Strictly Orthogonal and Symmetric L1-Norm Nonnegative Matrix Tri-Factorization, Kai Liu, Hua Wang
Hashtag2Vec: Learning Hashtag Representation with Relational Hierarchical Embedding Model, Jie Liu, Zhicheng He, Yalou Huang
First-Order Rewritability of Frontier-Guarded Ontology-Mediated Queries, Pablo Barcelo, Gerald Berger, Carsten Lutz, Andreas Pieris
Metadata-dependent Infinite Poisson Factorization for Efficiently Modelling Sparse and Large Matrices in Recommendation, Trong Dinh Thac Do, Longbing Cao
Explainable Certain Answers, Giovanni Amendola, Leonid Libkin
Novel Structural Parameters for Acyclic Planning Using Tree Embeddings, Christer Bäckström, Peter Jonsson, Sebastian Ordyniak
Efficient computation of approximate equilibria in discrete Colonel Blotto games, Dong Quan Vu, Patrick Loiseau, Alonso Silva
Learning to Converse with Noisy Data: Generation with Calibration, Mingyue Shang, Zhenxin Fu, Nanyun Peng, Yansong Feng, Dongyan Zhao, Rui Yan
Algorithms for Fair Load Shedding in Developing Countries, Olabambo Oluwasuji, Obaid Malik, Jie Zhang, Sarvapali Ramchurn
Goal-Based Collective Decisions: Axiomatics and Computational Complexity, Arianna Novaro, Umberto Grandi, Dominique Longin, Emiliano Lorini
Stratification for Constraint-Based Multi-Objective Combinatorial Optimization, Miguel Terra-Neves, Ines Lynce, Vasco Manquinho
Active Discriminative Network Representation Learning, Li Gao, Hong Yang, Chuan Zhou, Jia Wu, Shirui Pan, Yue Hu
Planning and Learning with Stochastic Action Sets, Craig Boutilier, Alon Cohen, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans
An Operational Semantics for a Fragment of PRS, Lavindra de Silva, Felipe Meneguzzi, Brian Logan
Deep Learning for Multi-Facility Location Mechanism Design, Noah Golowich, Harikrishna Narasimhan, David Parkes
An Analytical and Experimental Comparison of Maximal Lottery Schemes, Florian Brandl, Felix Brandt, Christian Stricker
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management, Amrita Gupta, Mehrdad Farajtabar, Bistra Dilkina, Hongyuan Zha
Accelerated Difference of Convex functions Algorithm and its Application to Sparse Binary Logistic Regression, Duy Nhat Phan, Hoai Minh Le, Hoai An Le Thi
LP Heuristics over Conjunctions: Compilation, Convergence, Nogood Learning, Marcel Steinmetz, Joerg Hoffmann
Unary Integer Linear Programming with Structural Restrictions, Eduard Eiben, Robert Ganian, Sebastian Ordyniak, Dusan Knop
Redividing the Cake, Erel Segal-Halevi
Solving Exist-Random Quantified Stochastic Boolean Satisfiability via Clause Selection, Nian-Ze Lee, Yen-Shi Wang, Jie-Hong Jiang
MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation, David Keetae Park, Seungjoo Yoo, Hyojin Bahng, Jaegul Choo, Noseong Park
Goal-HSVI: Heuristic Search Value Iteration for Goal POMDPs, Karel Horák, Branislav Bošanský, Krishnendu Chatterjee
A Scalable Scheme for Counting Linear Extensions, Topi Talvitie, Kustaa Kangas, Teppo Niinimäki, Mikko Koivisto
Balancing Two-Player Stochastic Games with Soft Q-Learning, Jordi Grau-Moya, Haitham Bou-Ammar, Felix Leibfried
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems, Amin Ghafouri, Yevgeniy Vorobeychik, Xenofon Koutsoukos
Adversarial Task Assignment, Chen Hajaj, Yevgeniy Vorobeychik
Anonymizing k Facial Attributes via Adversarial Perturbations, Saheb Chhabra, Richa Singh, Mayank Vatsa, Gaurav Gupta
Integrating Demand Response and Renewable Energy In Wholesale Market, Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu
A Structural Approach to Activity Selection, Eduard Eiben, Robert Ganian, Sebastian Ordyniak
Two Approaches to Ontology Aggregation Based on Axiom Weakening, Daniele Porello, Nicolas Troquard, Rafael Penaloza, Roberto Confalonieri, Pietro Galliani, Oliver Kutz
Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari, Patryk Chrabąszcz, Ilya Loshchilov, Frank Hutter
Counterplanning using Goal Recognition and Landmarks, Alberto Pozanco, Yolanda Escudero Martin, Susana Fernandez, Daniel Borrajo
Joint Generative Moment-Matching Network for Learning Structural Latent Code, Hongchang Gao, Heng Huang
Stratified Negation in Limit Datalog Programs, Mark Kaminski, Bernardo Cuenca Grau, Egor V. Kostylev, Boris Motik, Ian Horrocks
Crowd Counting using Deep Recurrent Spatial-Aware Network, Lingbo Liu, Hongjun Wang, Guanbin Li, Wanli Ouyang, Liang Lin
Egalitarian Committee Scoring Rules, Haris Aziz, Piotr Faliszewski, Bernard Grofman, Arkadii Slinko, Nimrod Talmon
Inconsistency-Tolerant Ontology-Based Data Access Revisited: Taking Mappings into Account, Meghyn Bienvenu
Empirical Analysis of Foundational Distinctions in the Web of Data, Luigi Asprino, Valerio Basile, Paolo Ciancarini, Valentina Presutti
Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation, Buru Chang, Yonggyu Park, Donghyeon Park, Seongsoon Kim, Jaewoo Kang
Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics, Yanchi Liu, Tan Yan, Haifeng Chen
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels, Shujian Yu, Xiaoyang Wang, Jose Principe
Accountable Approval Sorting, Khaled Belahcene, Yann Chevaleyre, Christophe Labreuche, Nicolas Maudet, Vincent Mousseau, Wassila Ouerdane
Anytime Focal Search with Applications, Liron Cohen, Matías Greco, Hang Ma, Carlos Hernandez, Ariel Felner, T. K. Satish Kumar, Sven Koenig
Distributed Pareto Optimization for Subset Selection, Chao Qian, Guiying Li, Chao Feng, Ke Tang
Tractable (Simple) Contests, Priel Levy, David Sarne, Yonatan Aumann
Exploration by Distributional Reinforcement Learning, Yunhao Tang, Shipra Agrawal
Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets, Helene Verhaeghe, Christophe Lecoutre, Pierre Schaus
A Degeneracy Framework for Graph Similarity, Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis
Efficient Localized Inference for Large Graphical Models, Jinglin Chen, Jian Peng, Qiang Liu
Differentiable Submodular Maximization, Sebastian Tschiatschek, Aytunc Sahin, Andreas Krause
Stochastic Second-Order Method for Large-Scale Nonconvex Sparse Learning Models, Hongchang Gao, Heng Huang
Online, Interactive User Guidance for High-dimensional, Constrained Motion Planning, Fahad Islam, Oren Salzman, Maxim Likhachev
Behavioral Cloning from Observation, Faraz Torabi, Garrett Warnell, Peter Stone
Reachability Analysis of Deep Neural Networks with Provable Guarantees, Wenjie Ruan, Xiaowei Huang, Marta Kwiatkowska
Behavior of analogical inference w.r.t. Boolean functions, Miguel Couceiro, Nicolas Hug, Henri Prade, Gilles Richard
Multi-modal Predicate Identification using Dynamically Learned Robot Controllers, Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, Peter Stone
Divide and Conquer: Towards Faster Pseudo-Boolean Solving, Jan Elffers, Jakob Nordström
Learning SMT(LRA) constraints using SMT solvers, Samuel Kolb, Stefano Teso, Andrea Passerini, Luc de Raedt
A Reactive Strategy for High-Level Consistency During Search, Robert Woodward, Berthe Y Choueiry, Christian Bessiere
An FPTAS for Computing Nash Equilibrium in Resource Graph Games, Hau Chan, Albert Xin Jiang
An Efficient Symbolic Partial Integration Operator for Probabilistic Inference, Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting
Core-Guided Minimal Correction Set and Core Enumeration, Nina Narodytska, Nikolaj Bjorner, Maria-Cristina Marinescu, Mooly Sagiv
Spatio-Temporal Check-in Time Prediction with Recurrent Neural Network based Survival Analysis, Guolei Yang, Ying Cai, Chandan K Reddy
Understanding Conflict-Driven Clause Learning SAT Solvers Through the Lens of Proof Complexity, Jan Elffers, Jesús Giráldez-Cru, Jakob Nordström, Laurent Simon, Stephan Gocht
Completeness-Preserving Dominance Techniques for Satisficing Planning, Álvaro Torralba
Compiling Model Representations for Querying Large ABoxes in Expressive DLs, Labinot Bajraktari, Magdalena Ortiz, Mantas Simkus
Learning Optimal Decision Trees with SAT, Nina Narodytska, Alexey Ignatiev, Filipe Pereira, Joao Marques-Silva
Experimental Design under the Bradley-Terry Model, Yuan Guo, Peng Tian, Jayashree Kalpathy-Cramer, Susan Ostmo, J.Peter Campbell, Michael F.Chiang, Deniz Erdogmus, Jennifer Dy, Stratis Ioannidis
A Decentralised Approach to Intersection Traffic Management, Huan Vu, Samir Aknine, Sarvapali Ramchurn
LTL Realizability via Safety and Reachability Games, Alberto Camacho, Christian Muise, Jorge A. Baier, Sheila A. McIlraith
Combinatorial Auctions via Machine Learning-based Preference Elicitation, Gianluca Brero, Benjamin Lubin, Sven Seuken
High-Fidelity Simulated Players for Interactive Narrative Planning, Pengcheng Wang, Jonathan Rowe, Wookhee Min, Bradford Mott, James Lester
A Group-based Approach to Improve Multifactorial Evolutionary Algorithm, Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy
Designing the Game to Play: Optimizing Payoff Structure in Security Games, Zheyuan Ryan Shi, Ziye Tang, Long Tran-Thanh, Rohit Singh, Fei Fang
Bidding in Periodic Double Auctions Using Heuristics and Dynamic Monte Carlo Tree Search, Moinul Morshed Porag Chowdhury, Christopher Kiekintveld, Son Tran, William Yeoh
Minimax-Regret Querying on Side Effects for Safe Optimality in Factored Markov Decision Processes, Shun Zhang, Edmund H. Durfee, Satinder Singh
Deep Attributed Network Embedding, Hongchang Gao, Heng Huang
A Local Algorithm for Product Return Prediction in E-Commerce, Yada Zhu, Jianbo Li, Jingrui He, Brian Quanz, Ajay Deshpande
A Deep Framework for Cross-Domain and Cross-System Recommendations, Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, Jia Wu
Dynamically Forming a Group of Human Forecasters and Machine Forecaster for Forecasting Economic Indicators, Takahiro Miyoshi, Shigeo Matsubara
Temporal Belief Memory: Imputing Missing Data during RNN Training, Yeo Jin Kim, Min Chi
Relevance in Structured Argumentation, Christian Straßer, AnneMarie Borg
Hashing over Predicted Future Frames for Informed Exploration of Deep Reinforcement Learning, Haiyan Yin, Jianda Chen, Sinno Jialin Pan
Scalable Probabilistic Causal Structure Discovery, Dhanya Sridhar, Jay Pujara, Lise Getoor
Comparing Approximate Relaxations of Envy-Freeness, Georgios Amanatidis, Georgios Birmpas, Vangelis Markakis
Generalization-Aware Structured Regression towards Balancing Bias and Variance, Martin Pavlovski, Fang Zhou, Nino Arsov, Ljupco Kocarev, Zoran Obradovic
Counterexample-Guided Data Augmentation, Tommaso Dreossi, Shromona Ghosh, Xiangyu Yue, Kurt Keutzer, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia
A Symbolic Approach to Explaining Bayesian Network Classifiers, Andy Shih, Arthur Choi, Adnan Darwiche
Social Media based Simulation Models for Understanding Disease Dynamics, Ting Hua, Chandan K Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
A Cloaking Mechanism to Mitigate Market Manipulation, Xintong Wang, Yevgeniy Vorobeychik, Michael P. Wellman
Hierarchical Active Learning with Group Proportion Feedback, Zhipeng Luo, Milos Hauskrecht
An Axiomatic View of the Parimutuel Consensus Mechanism, Rupert Freeman, David M. Pennock
Learning to Infer Final Plans in Human Team Planning, Joseph Kim, Matthew Woicik, Matthew Gombolay, Sung-Hyun Son, Julie Shah
ANRL: Attributed Network Representation Learning via Deep Neural Networks, Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang
On Robust Trimming of Bayesian Network Classifiers, YooJung Choi, Guy Van den Broeck
Attention-Fused Deep Matching Network for Natural Language Inference, Chaoqun Duan, Lei Cui, Xinchi Chen, Furu Wei, Conghui Zhu, Tiejun Zhao
Cross-Domain Depression Detection via Harvesting Social Media, Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall
Replicating Active Appearance Model by Generator Network, Tian Han, Jiawen Wu, Ying Nian Wu
Same Representation, Different Attentions: Shareable Sentence Representation Learning from Multiple Tasks, Renjie Zheng, Junkun Chen, Xipeng Qiu
Network Approximation using Tensor Sketching, Shiva Prasad Kasiviswanathan, Nina Narodytska, Hongxia Jin
Summarizing Source Code with Transferred API Knowledge, Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin
Learning Out-of-Vocabulary Words in Intelligent Personal Agents, Avik Ray, Yilin Shen, Hongxia Jin
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models, Buser Say, Scott Sanner
Finding Frequent Entities in Continuous Data, Ferran Alet, Tomas Lozano-Perez, Rohan Chitnis, Leslie P. Kaelbling
Robust Graph Dimensionality Reduction, Xiaofeng Zhu, Cong Lei, Hao Yu, Yonggang Li, Jiangzhang Gan, Shichao Zhang
Recommendation with Multi-Source Heterogeneous Information, Li Gao, Hong Yang, Jia Wu, Chuan Zhou, Weixue Lu, Yue Hu
Deep Convolutional Neural Networks with Merge-and-Run Mappings, Liming Zhao, Mingjie Li, Depu Meng, Xi Li, Zhaoxiang Zhang, Yueting Zhuang, Zhuowen Tu, Jingdong Wang
Big City vs. the Great Outdoors: Voter Distribution and How It Affects Gerrymandering, Allan Borodin, Omer Lev, Nisarg Shah, Tyrone Strangway
Keeping in Touch with Collaborative UAVs: A Deep Reinforcement Learning Approach, Bo Yang, Min Liu
Building Sparse Deep Feedforward Networks using Tree Receptive Fields, Xiaopeng Li, Zhourong Chen, Nevin L Zhang
Where have you been? Inferring career trajectory from academic social network, Kan Wu, Jie Tang, Chenhui Zhang
Understanding Subgoal Graphs by Augmenting Contraction Hierarchies, Tansel Uras, Sven Koenig
Similarity-Based Reasoning, Raven’s Matrices, and General Intelligence, Can Mekik, Ron Sun, David Yun Dai
The Price of Usability: Designing Operationalizable Strategies for Security Games, Sara Marie Mc Carthy, Corine Laan, Kai Wang, Phebe Vayanos, Arunesh Sinha, Milind Tambe
Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction, Sen Su, Ningning Jia, Xiang Cheng, Shuguang Zhu, Ruiping Li
Nonrigid Points Alignment with Soft-weighted Selection, Xuelong Li, Jian Yang, Qi Wang
Interpretable Adversarial Perturbation in Input Embedding Space for Text, Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto
Robot Task Interruption by Learning to Switch Among Multiple Models, Anahita Mohseni-Kabir, Manuela Veloso
Mixed Causal Structure Discovery with Application to Prescriptive Pricing, Wenjuan Wei, Lu Feng, Chunchen Liu
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search, Yi-Qi Hu, Yang Yu, Zhi-Hua Zhou
A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams, Amin Jaber, Jiji Zhang, Elias Bareinboim
Neural User Response Generator: Fake News Detection with Collective User Intelligence, Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu
Complexity of Scheduling Charging in the Smart Grid, Mathijs de Weerdt, Michael Albert, Vincent Conitzer, Koos van der Linden
Admissible abstractions for near-optimal task and motion planning, William Vega-Brown, Nicholas Roy
Learning Environmental Calibration Actions for Policy Self-Evolution, Chao Zhang, Yang Yu, Zhi-Hua Zhou
Lifelong Domain Word Embedding via Meta-Learning, Hu Xu, Bing Liu, Lei Shu, Philip Yu
Determining Persuasiveness in Essays, Winston Carlile, Nishant Gurradapi, Zixuan Ke, Vincent Ng
Translations as Additional Contexts for Sentence Classification, Reinald Kim Amplayo, Kyungjae Lee, Jinyoung Yeo, Seung-won Hwang
Structured Inference for Recurrent Hidden Semi-markov Model, Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
Biased Random Walk based Social Regularization for Word Embeddings, Ziqian Zeng, Xin Liu, Yangqiu Song
Feature Hashing for Network Representation Learning, Qixiang Wang, Shanfeng Wang, Maoguo Gong, Yue Wu
Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation, Yuguang Yan, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu
On the Conditional Logic of Simulation Models, Duligur Ibeling, Thomas Icard
Vocabulary Alignment for Collaborative Agents: a Study with Real-World Multilingual How-to Instructions, Paula Chocron, Paolo Pareti
Scheduling under Uncertainty: A Query-based Approach, Luciana Arantes, Evripidis Bampis, Alexander Kononov, Manthos Letsios, Giorgio Lucarelli, Pierre Sens
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization, Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon
Learning to Recognize Transient Sound Events using Attentional Supervision, Szu-Yu Chou, Jyh-Shing Jang, Yi-Hsuan Yang
A Novel Data Representation for Effective Learning in Class Imbalanced Scenarios, Sri Harsha Dumpala, Rupayan Chakraborty, Sunil Kumar Kopparapu
Generating Adversarial Examples with Adversarial Networks, Chaowei Xiao, Bo Li, Jun-yan Zhu, Warren He, Mingyan Liu, Dawn Song
Complexity of Approximate Query Answering under Inconsistency in Datalog+/-, Thomas Lukasiewicz, Enrico Malizia, Cristian Molinaro
Learning Latent Feature Relational Models via Small-Variance Asymptotics, Gundeep Arora, Anupreet Porwal, Avani Samdariya, Piyush Rai, Kanupriya Agarwal
Reinforced Mnemonic Reader for Machine Reading Comprehension, Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou
Joint Posterior Revision of NLP Annotations via Ontological Knowledge, Marco Rospocher, Francesco Corcoglioniti
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions, Soham Parikh, Ananya Sai, Preksha Nema, Mitesh Khapra
The Complexity of Limited Belief Reasoning—The Quantifier-Free Case, Yijia Chen, Abdallah Saffidine, Christoph Schwering
Fair Division Under Cardinality Constraints, Arpita Biswas, Siddharth Barman
Smarter Response with Proactive Suggestion: A New Generative Neural Conversation Paradigm, Rui Yan, Dongyan Zhao
Feature Enhancement in Attention for Visual Question Answering, Yuetan Lin, Zhangyang Pang, Donghui Wang, Yueting Zhuang
Combinatorial Pure Exploration with Continuous and Separable Reward Functions and Its Applications, Weiran Huang, Jungseul Ok, Liang Li, Wei Chen