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. An Accelerated Variance Reducing Stochastic Method with Douglas-Rachford Splitting (Paper ID #MACH-D-18-00189)