Conference Track

  • Kaixiang Wang, Ming Yang, Wanqi Yang, YiLong Yin. Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification (Paper ID #4)
  • Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai. Co-regularized Multi-view Subspace Clustering (Paper ID #8)
  • Ping Li, Songcan Chen. Feature-correlation-aware Gaussian Process Latent Variable Model (Paper ID #10)
  • Yaling Tao, Kentaro Takagi, Kouta Nakata. RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets (Paper ID #11)
  • Çiğdem Ak, Önder Ergönül, Mehmet Gönen. Structured Gaussian Processes with Twin Multiple Kernel Learning (Paper ID #15)
  • Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao. End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching (Paper ID #17)
  • Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li. Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach (Paper ID #18)
  • Yicun Liu, Jimmy Ren, Jianbo Liu, Jiawei Zhang, Xiaohao Chen. Learning Selfie-Friendly Abstraction from Artistic Style Images (Paper ID #26)
  • Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Phung. Clustering Induced Kernel Learning (Paper ID #28)
  • Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu. Joint Patch-Group Based Sparse Representation for Image Inpainting (Paper ID #40)
  • Yanbo Ma, Jiarui Sun, Qiuhao Zhou, Kaili Cheng, Xuesong Chen, Yong Zhao. CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection (Paper ID #50)
  • Kenya Ukai, Takashi Matsubara, Kuniaki Uehara. Hypernetwork-based Implicit Posterior Estimation and Model Averaging of Convolutional Neural Networks (Paper ID #52)
  • Yuan Jin, Mark Carman, Ye Zhu, Wray Buntine. Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing (Paper ID #56)
  • Guopeng Zhang, Jinhua Xu. Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss (Paper ID #58)
  • Guopeng Zhang, Jinhua Xu. Person Re-identification by Mid-level Attribute and Part-based Identity Learning (Paper ID #67)
  • Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li. Clustering Uncertain Graphs with Node Attributes (Paper ID #68)
  • Lifeng Shen, Qianli Ma, Sen Li. End-to-End Time Series Imputation via Residual Short Paths (Paper ID #70)
  • Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu. A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA (Paper ID #71)
  • Bin Liu, Grigorios Tsoumakas. Making Classifier Chains Resilient to Class Imbalance (Paper ID #72)
  • Yan Hu, Keyan Wang, Xi Zhao, Hui Wang, Yunsong Li. Underwater Image Restoration Based on Convolutional Neural Network (Paper ID #73)
  • Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin. Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification (Paper ID #79)
  • Rodrigo de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip Torr. Deep Fully-Connected Part-Based Models for Human Pose Estimation (Paper ID #80)
  • Rameshwar Pratap, Anup Deshmukh, Pratheeksha Nair, Tarun Dutt. A Faster Sampling Algorithm for Spherical k-means (Paper ID #81)
  • Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Phung. Batch Normalized Deep Boltzmann Machines (Paper ID #84)
  • Chen Shen, Yuhong Guo. Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation (Paper ID #91)
  • Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park. Adversarial TableQA: Attention Supervision for Question Answering on Tables (Paper ID #97)
  • Daniil Polykovskiy, Dmitry Soloviev, Sergey Nikolenko. Concorde: Morphological Agreement in Conversational Models (Paper ID #101)
  • Iurii Kemaev, Daniil Polykovskiy, Dmitry Vetrov. ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks (Paper ID #102)
  • Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak. Extracting Invariant Features From Images Using An Equivariant Autoencoder (Paper ID #106)
  • Hao Li, Yanyan Shen, Yanmin Zhu. Stock Price Prediction Using Attention-based Multi-Input LSTM (Paper ID #108)
  • Huayi Zhou, Fei Jiang, Ruimin Shen. Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation (Paper ID #109)
  • Chong Shang, Haizhou Ai, Zijie Zhuang, Long Chen, Junliang Xing. ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection (Paper ID #111)
  • Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou. Collaboratively Weighting Deep and Classic Representation via l2 Regularization for Image Classification (Paper ID #134)
  • Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang. Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction (Paper ID #135)
  • Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu. Adversarial Neural Machine Translation (Paper ID #141)
  • Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin. Deep Embedded Clustering with Data Augmentation (Paper ID #151)
  • Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu. Cartoon-to-Photo Facial Translation with Generative Adversarial Networks (Paper ID #152)
  • Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li. CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning (Paper ID #163)
  • Huan Li, Zhouchen Lin. Construction of Incoherent Dictionaries via Direct Babel Function Minimization (Paper ID #168)
  • Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin. Optimization Algorithm Inspired Deep Neural Network Structure Design (Paper ID #170)
  • Hongli Wang, Jiangtao Ren. A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification (Paper ID #172)
  • Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li. SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud (Paper ID #180)
  • Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang. Deep Multi-instance Learning with Dynamic Pooling (Paper ID #181)
  • Xiaochen Wang, Yanyan Shen, Yanmin Zhu. A Data Driven Approach to Predicting Rating Scores for New Restaurants (Paper ID #183)
  • Mastane Achab, Stephan Clémençon, Aurélien Garivier. Profitable Bandits (Paper ID #185)
  • Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang. Fast Randomized PCA for Sparse Data (Paper ID #188)
  • Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang. Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems (Paper ID #189)
  • Chuang-Chieh Lin, Chi-Jen Lu. Efficient Mechanisms for Peer Grading and Dueling Bandits (Paper ID #190)
  • Junjie Fu, Gongshen Liu. A Joint Selective Mechanism for Abstractive Sentence Summarization (Paper ID #199)
  • Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi. Fast Dynamic Convolutional Neural Networks for Visual Tracking (Paper ID #201)
  • Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara. RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs (Paper ID #215)
  • Hui Han Chin, Paul Pu Liang. An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering (Paper ID #217)
  • Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin. ASVRG: Accelerated Proximal SVRG (Paper ID #221)
  • Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li. Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction (Paper ID #223)
  • Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang. TVT: Two-View Transformer Network for Video Captioning (Paper ID #251)
  • Tongtong Zhao, Yuxiao Yan, JinJia Peng, HaoHui Wei, Xianping Fu. Refining Synthetic Images with Semantic Layouts by Adversarial Training (Paper ID #262)
  • Zeshang Zhang, Yingming Li, Zhongfei Zhang. Relative Attribute Learning with Deep Attentive Cross-image Representation (Paper ID #268)

Journal Track

  • Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama. Millionaire: A Hint-guided Approach for Crowdsourcing (Paper ID #MACH-D-18-00102)
  • Joey Tianyi Zhou, Ivor W. Tsang, Shen-Shyang Ho, Klaus-Robert Müller. N-ary Decomposition for Multi-class Classification (Paper ID #MACH-D-18-00107)
  • Yu-Lin Tsou, Hsuan-Tien Lin. Annotation Cost-sensitive Active Learning by Tree Sampling (Paper ID #MACH-D-18-00108)
  • Kanghoon Lee, Geon-Hyeong Kim, Pedro Ortega, Daniel D. Lee, Kee-Eung Kim. Bayesian Optimistic Kullback-Leibler Exploration (Paper ID #MACH-D-18-00150)
  • Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He. Supervised Representation Learning for Multi-label Classification (Paper ID #MACH-D-18-00163)
  • Hideaki Kano, Junya Honda, Kentaro Sakamaki, Kentaro Matsuura, Atsuyoshi Nakamura, Masashi Sugiyama. Good Arm Identification via Bandit Feedback (Paper ID #MACH-D-18-00174)
  • Jingchang Liu, Linli Xu, Shuheng Shen, Qing Ling. Supporting Non-Smooth Loss Functions: An Accelerated Stochastic Gradient Method for Regularized Empirical Risk Minimization (Paper ID #MACH-D-18-00189)