Table of Contents

• Asian Conference on Machine Learning: Preface [doi]
• Random Projection in Neural Episodic ControlDaichi Nishio, Satoshi Yamane. 1-15 [doi]
• Differentially Private Community Detection in Attributed Social NetworksTianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li 0001. 16-31 [doi]
• Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement LearningJohn Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak. 32-47 [doi]
• An Articulated Structure-aware Network for 3D Human Pose EstimationZhenhua Tang, Xiaoyan Zhang, Junhui Hou. 48-63 [doi]
• A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVsChang Wang, Chao Yan, Xiaojia Xiang, Han Zhou. 64-79 [doi]
• Multiple Empirical Kernel Learning with Discriminant Locality PreservationBolu Wang, Dongdong Li, Zhe Wang. 80-93 [doi]
• ResNet and Batch-normalization Improve Data SeparabilityYasutaka Furusho, Kazushi Ikeda. 94-108 [doi]
• Variational Conditional GAN for Fine-grained Controllable Image GenerationMingqi Hu, Deyu Zhou, Yulan He. 109-124 [doi]
• Deep Learning with a Rethinking Structure for Multi-label ClassificationYao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin. 125-140 [doi]
• Minimax Online Prediction of Varying Bernoulli Process under Variational ApproximationKenta Konagayoshi, Kazuho Watanabe. 141-156 [doi]
• Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encodersYunxiao Wang, Zheng Liu, Di Hu, Mian Zhang. 157-172 [doi]
• Learning to Augment with Feature Side-informationAmina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis. 173-187 [doi]
• An Encoding Adversarial Network for Anomaly DetectionElies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel. 188-203 [doi]
• Model-Based Reinforcement Learning Exploiting State-Action EquivalenceMahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard. 204-219 [doi]
• A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative AttentionYashen Wang, Huanhuan Zhang, Haiyong Xie 0001. 220-235 [doi]
• SPCDet: Enhancing Object Detection with Combined Feature FusingHaixin Wang, Lintao Wu, Qiongzhi Wu. 236-251 [doi]
• $\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other RisksLéonard Torossian, Aurélien Garivier, Victor Picheny. 252-267 [doi]
• Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization ParameterPuja Sahu, Nandyala Hemachandra. 268-283 [doi]
• Realistic Image Generation using Region-phrase AttentionWanming Huang, Richard Yi Da Xu, Ian Oppermann. 284-299 [doi]
• Efficient Diversified Mini-Batch Selection using Variable High-layer FeaturesWanming Huang, Richard Yi Da Xu, Ian Oppermann. 300-315 [doi]
• Gradient-based Training of Slow Feature Analysis by Differentiable Approximate WhiteningMerlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott. 316-331 [doi]
• Functional Isolation ForestGuillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d'Alché-Buc. 332-347 [doi]
• Latent Multi-view Semi-Supervised ClassificationXiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen. 348-362 [doi]
• Cascaded and Dual: Discrimination Oriented Network for Brain Tumor ClassificationWenxuan Zhang, Dong Zhang, Xinguang Xiang. 363-378 [doi]
• FEARS: a Feature and Representation Selection approach for Time Series ClassificationAlexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka. 379-394 [doi]
• Unified Policy Optimization for Robust Reinforcement LearningZichuan Lin, Li Zhao, Jiang Bian 0002, Tao Qin, Guangwen Yang. 395-410 [doi]
• Multi-Label Learning with Regularization Enriched Label-Specific FeaturesZe-Sen Chen, Min-Ling Zhang. 411-424 [doi]
• An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment ClassificationQingxuan Zhang, Chongyang Shi. 425-440 [doi]
• Multi-modal Representation Learning for Successive POI RecommendationLishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren. 441-456 [doi]
• Forward and Backward Knowledge Transfer for Sentiment ClassificationHao Wang, Bing Liu 0001, Shuai Wang, Nianzu Ma, Yan Yang. 457-472 [doi]
• Zero-shot Domain Adaptation Based on Attribute InformationMasato Ishii, Takashi Takenouchi, Masashi Sugiyama. 473-488 [doi]
• Capsule Networks Need an Improved Routing AlgorithmInyoung Paik, Taeyeong Kwak, Injung Kim. 489-502 [doi]
• Learning to Sample Hard Instances for Graph AlgorithmsRyoma Sato, Makoto Yamada, Hisashi Kashima. 503-518 [doi]
• Multi-branch Siamese Network for High Performance Online Visual TrackingJunfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang. 519-534 [doi]
• Exemplar Based Mixture Models with Censored DataMasahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda. 535-550 [doi]
• Canonical Soft Time WarpingKeisuke Kawano, Satoshi Koide, Takuro Kutsuna. 551-566 [doi]
• Self-Weighted Multi-View Clustering with Deep Matrix FactorizationBeilei Cui, Hong Yu, Tiantian Zhang, Siwen Li. 567-582 [doi]
• Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman CompetitionTakayuki Osogami, Toshihiro Takahashi. 583-598 [doi]
• Variational Inference from Ranked Samples with FeaturesYuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis. 599-614 [doi]
• Investigating the effect of novel classes in semi-supervised learningAlex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer. 615-630 [doi]
• An Anchor-Free Oriented Text Detector with Connectionist Text Proposal NetworkChenhui Huang, Jinhua Xu. 631-645 [doi]
• Text Length Adaptation in Sentiment ClassificationReinald Kim Amplayo, Seonjae Lim, Seung-won Hwang. 646-661 [doi]
• A Generalization Bound for Online Variational InferenceBadr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan. 662-677 [doi]
• Regularizing Neural Networks via Stochastic Branch LayersWonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho. 678-693 [doi]
• SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTASatoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai. 694-709 [doi]
• Improving Statute Prediction via Mining Correlations between StatutesYi Feng, Chuanyi Li, JiDong Ge, Bin Luo 0003. 710-725 [doi]
• Convolutional Neural Collaborative Filtering with Stacked EmbeddingsLiu Han, Hailong Wu, Nan Hu, Binbin Qu. 726-741 [doi]
• A New Multi-choice Reading Comprehension Dataset for Curriculum LearningYichan Liang, Jianheng Li, Jian Yin. 742-757 [doi]
• Prediction of Crowd Flow in City Complex with Missing DataShiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang, Guo Yu, Mingyao Hou, Hengchang Liu. 758-773 [doi]
• Learning Weighted Top-$k$ Support Vector MachineTsuyoshi Kato, Yoshihiro Hirohashi. 774-789 [doi]
• Self-Paced Multi-Label Learning with DiversitySeyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian, Mahdi Jalili, Parham Moradi. 790-805 [doi]
• Software Component Prediction for Bug ReportsWei Zhang, Chris Challis. 806-821 [doi]
• Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classificationBahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed. 822-835 [doi]
• Efficient Learning of Restricted Boltzmann Machines Using Covariance EstimatesVidyadhar Upadhya, P. S. Sastry. 836-851 [doi]
• Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene DeblurringJinkai Cui, Weihong Li, Wei Guo, Weiguo Gong. 852-867 [doi]
• Adaptive truncated residual regression for fine-grained regression problemsHirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda. 868-882 [doi]
• Surface Reconstruction based on Self-Merging Octree with Deep LearningJian Lv, Xie Han, Jiajie Zheng, Fengguang Xiong, Min Pang. 883-896 [doi]
• Separate Loss for Basic and Compound Facial Expression Recognition in the WildYing-Jian Li, Yao Lu, Jinxing Li, Guangming Lu. 897-911 [doi]
• LADet: A Light-weight and Adaptive Network for Multi-scale Object DetectionJiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang, Zhongzhi Luan, Depei Qian. 912-923 [doi]
• Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound ClassificationChongqin Lei, Weiguo Gong, Zixu Wang. 924-939 [doi]
• Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text MatchingZhuobin Zheng, Youcheng Ben, Chun Yuan. 940-955 [doi]
• Kernel Learning for Data-Driven Spectral Analysis of Koopman OperatorsNaoya Takeishi. 956-971 [doi]
• Nuclei segmentation by using convolutional network with distance map and contour informationXiaoming Liu 0004, Zhengsheng Guo, Bo Li, Jun Cao. 972-986 [doi]
• Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural NetworkXiaoming Liu, Xiangkai Wei, Aihui Yu, Zhifang Pan. 987-1000 [doi]
• Self-Supervised Deep Multi-View Subspace ClusteringXiukun Sun, MiaoMiao Cheng, Chen Min, Liping Jing. 1001-1016 [doi]
• Active Change-Point DetectionShogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima. 1017-1032 [doi]
• Trust Region Sequential Variational InferenceGeon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim. 1033-1048 [doi]
• SDC-causing Error Detection Based on Lightweight Vulnerability PredictionCheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang. 1049-1064 [doi]
• Hyperbolic Ordinal EmbeddingAtsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi. 1065-1080 [doi]
• Effective Sentence Scoring Method Using BERT for Speech RecognitionJoonbo Shin, Yoonhyung Lee, Kyomin Jung. 1081-1093 [doi]
• Stochastic Gradient TreesHenry Gouk, Bernhard Pfahringer, Eibe Frank. 1094-1109 [doi]
• Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWAVitalik Melnikov, Eyke Hüllermeier. 1110-1125 [doi]
• Geometry-Aware Maximum Likelihood Estimation of Intrinsic DimensionMarina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich. 1126-1141 [doi]
• Forward-Backward Generative Adversarial Networks for Anomaly DetectionYoungnam Kim, Seungjin Choi. 1142-1155 [doi]
• Improving Relation Classification by Entity Pair GraphYi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin. 1156-1171 [doi]
• Cell-aware Stacked LSTMs for Modeling SentencesJihun Choi, Taeuk Kim, Sang-goo Lee. 1172-1187 [doi]
• From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online usersAnh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than. 1188-1203 [doi]
• G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based DetectorsXing Wu, Lifeng Huang, Chengying Gao. 1204-1217 [doi]