| 2018 | A Data Driven Approach to Predicting Rating Scores for New Restaurants. Xiaochen Wang, Yanyan Shen, Yanmin Zhu |
| 2018 | A Faster Sampling Algorithm for Spherical Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt |
| 2018 | A Joint Selective Mechanism for Abstractive Sentence Summarization. Junjie Fu, Gongshen Liu |
| 2018 | A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA. Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu |
| 2018 | A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification. Hongli Wang, Jiangtao Ren |
| 2018 | ASVRG: Accelerated Proximal SVRG. Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin |
| 2018 | Adversarial Neural Machine Translation. Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 2018 | Adversarial TableQA: Attention Supervision for Question Answering on Tables. Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park |
| 2018 | An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering. Hui Han Chin, Paul Pu Liang |
| 2018 | Batch Normalized Deep Boltzmann Machines. Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung |
| 2018 | Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems. Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang |
| 2018 | CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning. Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li |
| 2018 | CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection. Yanbo Ma, Jiarui Sun, Qiuhao Zhou, Kaili Cheng, Xuesong Chen, Yong Zhao |
| 2018 | Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu |
| 2018 | Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang |
| 2018 | Clustering Induced Kernel Learning. Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung |
| 2018 | Clustering Uncertain Graphs with Node Attributes. Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li |
| 2018 | Co-regularized Multi-view Subspace Clustering. Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai |
| 2018 | Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou |
| 2018 | Concorde: Morphological Agreement in Conversational Models. Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko |
| 2018 | Construction of Incoherent Dictionaries via Direct Babel Function Minimization. Huan Li, Zhouchen Lin |
| 2018 | Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin |
| 2018 | Deep Embedded Clustering with Data Augmentation. Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin |
| 2018 | Deep Fully-Connected Part-Based Models for Human Pose Estimation. Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr |
| 2018 | Deep Multi-instance Learning with Dynamic Pooling. Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang |
| 2018 | Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss. Guopeng Zhang, Jinhua Xu |
| 2018 | Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine |
| 2018 | Efficient Mechanisms for Peer Grading and Dueling Bandits. Chuang-Chieh Lin, Chi-Jen Lu |
| 2018 | End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching. Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao |
| 2018 | End-to-End Time Series Imputation via Residual Short Paths. Lifeng Shen, Qianli Ma, Sen Li |
| 2018 | Extracting Invariant Features From Images Using An Equivariant Autoencoder. Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak |
| 2018 | Fast Dynamic Convolutional Neural Networks for Visual Tracking. Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi |
| 2018 | Fast Randomized PCA for Sparse Data. Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang |
| 2018 | Feature-correlation-aware Gaussian Process Latent Variable Model. Ping Li, Songcan Chen |
| 2018 | Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. Kenya Ukai, Takashi Matsubara, Kuniaki Uehara |
| 2018 | Joint Patch-Group Based Sparse Representation for Image Inpainting. Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu |
| 2018 | Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li |
| 2018 | Learning Selfie-Friendly Abstraction from Artistic Style Images. Yicun Liu, Jimmy S. J. Ren, Jianbo Liu, Xiaohao Chen |
| 2018 | Making Classifier Chains Resilient to Class Imbalance. Bin Liu, Grigorios Tsoumakas |
| 2018 | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li |
| 2018 | Optimization Algorithm Inspired Deep Neural Network Structure Design. Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin |
| 2018 | Person Re-identification by Mid-level Attribute and Part-based Identity Learning. Guopeng Zhang, Jinhua Xu |
| 2018 | Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin |
| 2018 | Preface. |
| 2018 | Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. Jun Zhu, Ichiro Takeuchi |
| 2018 | Profitable Bandits. Mastane Achab, Stéphan Clémençon, Aurélien Garivier |
| 2018 | RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets. Yaling Tao, Kentaro Takagi, Kouta Nakata |
| 2018 | RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara |
| 2018 | ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov |
| 2018 | Refining Synthetic Images with Semantic Layouts by Adversarial Training. Tongtong Zhao, Yuxiao Yan, Jinjia Peng, HaoHui Wei, Xianping Fu |
| 2018 | Relative Attribute Learning with Deep Attentive Cross-image Representation. Zeshang Zhang, Yingming Li, Zhongfei Zhang |
| 2018 | SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li |
| 2018 | Stock Price Prediction Using Attention-based Multi-Input LSTM. Hao Li, Yanyan Shen, Yanmin Zhu |
| 2018 | Structured Gaussian Processes with Twin Multiple Kernel Learning. Çigdem Ak, Önder Ergönül, Mehmet Gönen |
| 2018 | TVT: Two-View Transformer Network for Video Captioning. Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang |
| 2018 | Underwater Image Restoration Based on Convolutional Neural Network. Yan Hu, Keyan Wang, Xi Zhao, Hui Wang, Yunsong Li |
| 2018 | Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. Chen Shen, Yuhong Guo |
| 2018 | Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation. Huayi Zhou, Fei Jiang, Ruimin Shen |
| 2018 | ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection. Chong Shang, Haizhou Ai, Zijie Zhuang, Long Chen, Junliang Xing |