| 2020 | Exact Passive-Aggressive Algorithms for Multiclass Classification Using Bandit Feedbacks. | Maanik Arora, Naresh Manwani |
| 2020 | Inverse Visual Question Answering with Multi-Level Attentions. | Yaser Alwatter, Yuhong Guo |
| 2020 | A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning. | Reza Refaei Afshar, Yingqian Zhang, Murat Firat, Uzay Kaymak |
| 2019 | Multi-branch Siamese Network for High Performance Online Visual Tracking. | Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang |
| 2019 | LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection. | Jiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang, Zhongzhi Luan, Depei Qian |
| 2019 | Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching. | Zhuobin Zheng, Youcheng Ben, Chun Yuan |
| 2019 | Improving Relation Classification by Entity Pair Graph. | Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin |
| 2019 | Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification. | Wenxuan Zhang, Dong Zhang, Xinguang Xiang |
| 2019 | An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification. | Qingxuan Zhang, Chongyang Shi |
| 2019 | Software Component Prediction for Bug Reports. | Wei Zhang, Chris Challis |
| 2019 | Deep Learning with a Rethinking Structure for Multi-label Classification. | Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin |
| 2019 | Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. | John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak |
| 2019 | Asian Conference on Machine Learning: Preface. | |
| 2019 | G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors. | Xing Wu, Lifeng Huang, Chengying Gao |
| 2019 | A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention. | Yashen Wang, Huanhuan Zhang, Haiyong Xie |
| 2019 | A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs. | Chang Wang, Chao Yan, Xiaojia Xiang, Han Zhou |
| 2019 | SPCDet: Enhancing Object Detection with Combined Feature Fusing. | Haixin Wang, Lintao Wu, Qiongzhi Wu |
| 2019 | Multiple Empirical Kernel Learning with Discriminant Locality Preservation. | Bolu Wang, Dongdong Li, Zhe Wang |
| 2019 | Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders. | Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang |
| 2019 | Forward and Backward Knowledge Transfer for Sentiment Classification. | Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang |
| 2019 | Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates. | Vidyadhar Upadhya, P. S. Sastry |
| 2019 | From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. | Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than |
| 2019 | $\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. | Lonard Torossian, Aurlien Garivier, Victor Picheny |
| 2019 | An Articulated Structure-aware Network for 3D Human Pose Estimation. | Zhenhua Tang, Xiaoyan Zhang, Junhui Hou |
| 2019 | Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators. | Naoya Takeishi |