| 2019 | Multi-Label Learning with Regularization Enriched Label-Specific Features. | Ze-Sen Chen, Min-Ling Zhang |
| 2019 | FEARS: a Feature and Representation Selection approach for Time Series Classification. | Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boull, Eole Cervenka |
| 2019 | Latent Multi-view Semi-Supervised Classification. | Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen |
| 2019 | Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. | Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed |
| 2019 | Model-Based Reinforcement Learning Exploiting State-Action Equivalence. | Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard |
| 2019 | Text Length Adaptation in Sentiment Classification. | Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang |
| 2019 | Nuclei segmentation by using convolutional network with distance map and contour information. | Xiaoming Liu, Zhengsheng Guo, Bo Li, Jun Cao |
| 2018 | Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation. | Huayi Zhou, Fei Jiang, Ruimin Shen |
| 2018 | Joint Patch-Group Based Sparse Representation for Image Inpainting. | Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu |
| 2018 | Refining Synthetic Images with Semantic Layouts by Adversarial Training. | Tongtong Zhao, Yuxiao Yan, Jinjia Peng, HaoHui Wei, Xianping Fu |
| 2018 | Person Re-identification by Mid-level Attribute and Part-based Identity Learning. | Guopeng Zhang, Jinhua Xu |
| 2018 | Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss. | Guopeng Zhang, Jinhua Xu |
| 2018 | End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching. | Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao |
| 2018 | Relative Attribute Learning with Deep Attentive Cross-image Representation. | Zeshang Zhang, Yingming Li, Zhongfei Zhang |
| 2018 | Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. | Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou |
| 2018 | Co-regularized Multi-view Subspace Clustering. | Hong Yu, Tiantian Zhang, Yahong Lian, Yu Cai |
| 2018 | Deep Multi-instance Learning with Dynamic Pooling. | Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang |
| 2018 | Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems. | Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang |
| 2018 | Preface. | |
| 2018 | Adversarial Neural Machine Translation. | Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu |
| 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 | Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. | Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin |
| 2018 | A Data Driven Approach to Predicting Rating Scores for New Restaurants. | Xiaochen Wang, Yanyan Shen, Yanmin Zhu |
| 2018 | A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification. | Hongli Wang, Jiangtao Ren |
| 2018 | Batch Normalized Deep Boltzmann Machines. | Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung |