| 2019 | $\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. Léonard Torossian, Aurélien Garivier, Victor Picheny |
| 2019 | A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs. Chang Wang, Chao Yan, Xiaojia Xiang, Han Zhou |
| 2019 | A Generalization Bound for Online Variational Inference. Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan |
| 2019 | A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention. Yashen Wang, Huanhuan Zhang, Haiyong Xie |
| 2019 | A New Multi-choice Reading Comprehension Dataset for Curriculum Learning. Yichan Liang, Jianheng Li, Jian Yin |
| 2019 | Active Change-Point Detection. Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima |
| 2019 | Adaptive truncated residual regression for fine-grained regression problems. Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda |
| 2019 | An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network. Chenhui Huang, Jinhua Xu |
| 2019 | An Articulated Structure-aware Network for 3D Human Pose Estimation. Zhenhua Tang, Xiaoyan Zhang, Junhui Hou |
| 2019 | An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification. Qingxuan Zhang, Chongyang Shi |
| 2019 | An Encoding Adversarial Network for Anomaly Detection. Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel |
| 2019 | Asian Conference on Machine Learning: Preface. |
| 2019 | Canonical Soft Time Warping. Keisuke Kawano, Satoshi Koide, Takuro Kutsuna |
| 2019 | Capsule Networks Need an Improved Routing Algorithm. Inyoung Paik, Taeyeong Kwak, Injung Kim |
| 2019 | Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification. Wenxuan Zhang, Dong Zhang, Xinguang Xiang |
| 2019 | Cell-aware Stacked LSTMs for Modeling Sentences. Jihun Choi, Taeuk Kim, Sang-goo Lee |
| 2019 | Convolutional Neural Collaborative Filtering with Stacked Embeddings. Liu Han, Hailong Wu, Nan Hu, Binbin Qu |
| 2019 | Deep Learning with a Rethinking Structure for Multi-label Classification. Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin |
| 2019 | Differentially Private Community Detection in Attributed Social Networks. Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li |
| 2019 | Effective Sentence Scoring Method Using BERT for Speech Recognition. Joonbo Shin, Yoonhyung Lee, Kyomin Jung |
| 2019 | Efficient Diversified Mini-Batch Selection using Variable High-layer Features. Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
| 2019 | Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates. Vidyadhar Upadhya, P. S. Sastry |
| 2019 | Exemplar Based Mixture Models with Censored Data. Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda |
| 2019 | FEARS: a Feature and Representation Selection approach for Time Series Classification. Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka |
| 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 | Forward and Backward Knowledge Transfer for Sentiment Classification. Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang |
| 2019 | Forward-Backward Generative Adversarial Networks for Anomaly Detection. Youngnam Kim, Seungjin Choi |
| 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 | Functional Isolation Forest. Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d'Alché-Buc |
| 2019 | Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification. Chongqin Lei, Weiguo Gong, Zixu Wang |
| 2019 | G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors. Xing Wu, Lifeng Huang, Chengying Gao |
| 2019 | Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension. Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich |
| 2019 | Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott |
| 2019 | Hyperbolic Ordinal Embedding. Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi |
| 2019 | Improving Relation Classification by Entity Pair Graph. Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin |
| 2019 | Improving Statute Prediction via Mining Correlations between Statutes. Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo |
| 2019 | Investigating the effect of novel classes in semi-supervised learning. Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer |
| 2019 | Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators. Naoya Takeishi |
| 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 | Latent Multi-view Semi-Supervised Classification. Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen |
| 2019 | Learning Weighted Top- Tsuyoshi Kato, Yoshihiro Hirohashi |
| 2019 | Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. Vitalik Melnikov, Eyke Hüllermeier |
| 2019 | Learning to Augment with Feature Side-information. Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis |
| 2019 | Learning to Sample Hard Instances for Graph Algorithms. Ryoma Sato, Makoto Yamada, Hisashi Kashima |
| 2019 | Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. Kenta Konagayoshi, Kazuho Watanabe |
| 2019 | Model-Based Reinforcement Learning Exploiting State-Action Equivalence. Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard |
| 2019 | Multi-Label Learning with Regularization Enriched Label-Specific Features. Ze-Sen Chen, Min-Ling Zhang |
| 2019 | Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching. Zhuobin Zheng, Youcheng Ben, Chun Yuan |
| 2019 | Multi-branch Siamese Network for High Performance Online Visual Tracking. Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang |
| 2019 | Multi-modal Representation Learning for Successive POI Recommendation. Lishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren |
| 2019 | Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring. Jinkai Cui, Weihong Li, Wei Guo, Weiguo Gong |
| 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 | Nuclei segmentation by using convolutional network with distance map and contour information. Xiaoming Liu, Zhengsheng Guo, Bo Li, Jun Cao |
| 2019 | Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. Puja Sahu, Nandyala Hemachandra |
| 2019 | Prediction of Crowd Flow in City Complex with Missing Data. Shiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang, Guo Yu, Mingyao Hou, Hengchang Liu |
| 2019 | Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. Wee Sun Lee, Taiji Suzuki |
| 2019 | Random Projection in Neural Episodic Control. Daichi Nishio, Satoshi Yamane |
| 2019 | Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition. Takayuki Osogami, Toshihiro Takahashi |
| 2019 | Realistic Image Generation using Region-phrase Attention. Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
| 2019 | Regularizing Neural Networks via Stochastic Branch Layers. Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho |
| 2019 | ResNet and Batch-normalization Improve Data Separability. Yasutaka Furusho, Kazushi Ikeda |
| 2019 | SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang |
| 2019 | SPCDet: Enhancing Object Detection with Combined Feature Fusing. Haixin Wang, Lintao Wu, Qiongzhi Wu |
| 2019 | SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai |
| 2019 | Self-Paced Multi-Label Learning with Diversity. Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian Tab, Mahdi Jalili, Parham Moradi |
| 2019 | Self-Supervised Deep Multi-View Subspace Clustering. Xiukun Sun, MiaoMiao Cheng, Chen Min, Liping Jing |
| 2019 | Self-Weighted Multi-View Clustering with Deep Matrix Factorization. Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li |
| 2019 | Separate Loss for Basic and Compound Facial Expression Recognition in the Wild. Yingjian Li, Yao Lu, Jinxing Li, Guangming Lu |
| 2019 | Software Component Prediction for Bug Reports. Wei Zhang, Chris Challis |
| 2019 | Stochastic Gradient Trees. Henry Gouk, Bernhard Pfahringer, Eibe Frank |
| 2019 | Surface Reconstruction based on Self-Merging Octree with Deep Learning. Jian Lv, Xie Han, Jiajie Zheng, Fengguang Xiong, Min Pang |
| 2019 | Text Length Adaptation in Sentiment Classification. Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang |
| 2019 | Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak |
| 2019 | Trust Region Sequential Variational Inference. Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim |
| 2019 | Unified Policy Optimization for Robust Reinforcement Learning. Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang |
| 2019 | Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network. Xiaoming Liu, Xiangkai Wei, Aihui Yu, Zhifang Pan |
| 2019 | Variational Conditional GAN for Fine-grained Controllable Image Generation. Mingqi Hu, Deyu Zhou, Yulan He |
| 2019 | Variational Inference from Ranked Samples with Features. Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis |
| 2019 | Zero-shot Domain Adaptation Based on Attribute Information. Masato Ishii, Takashi Takenouchi, Masashi Sugiyama |