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11th ACML 2019: Nagoya, Japan
- Wee Sun Lee, Taiji Suzuki:
Proceedings of The 11th Asian Conference on Machine Learning, ACML 2019, 17-19 November 2019, Nagoya, Japan. Proceedings of Machine Learning Research 101, PMLR 2019
Preface
- Asian Conference on Machine Learning: Preface. i-xvi
Accepted Papers
- Daichi Nishio, Satoshi Yamane:
Random Projection in Neural Episodic Control. 1-15 - Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao
, Pan Li:
Differentially Private Community Detection in Attributed Social Networks. 16-31 - John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak:
Towards Governing Agent's Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning. 32-47 - Zhenhua Tang, Xiaoyan Zhang, Junhui Hou:
An Articulated Structure-aware Network for 3D Human Pose Estimation. 48-63 - Chang Wang, Chao Yan, Xiaojia Xiang, Han Zhou:
A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs. 64-79 - Bolu Wang, Dongdong Li, Zhe Wang:
Multiple Empirical Kernel Learning with Discriminant Locality Preservation. 80-93 - Yasutaka Furusho, Kazushi Ikeda:
ResNet and Batch-normalization Improve Data Separability. 94-108 - Mingqi Hu, Deyu Zhou, Yulan He:
Variational Conditional GAN for Fine-grained Controllable Image Generation. 109-124 - Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin:
Deep Learning with a Rethinking Structure for Multi-label Classification. 125-140 - Kenta Konagayoshi, Kazuho Watanabe:
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. 141-156 - Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang:
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders. 157-172 - Amina Mollaysa, Alexandros Kalousis
Learning to Augment with Feature Side-information. 173-187 - Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel:
An Encoding Adversarial Network for Anomaly Detection. 188-203 - Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard:
Model-Based Reinforcement Learning Exploiting State-Action Equivalence. 204-219 - Yashen Wang, Huanhuan Zhang, Haiyong Xie:
A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention. 220-235 - Haixin Wang, Lintao Wu, Qiongzhi Wu:
SPCDet: Enhancing Object Detection with Combined Feature Fusing. 236-251 - Léonard Torossian, Aurélien Garivier, Victor Picheny:
$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks. 252-267 - Puja Sahu, Nandyala Hemachandra:
Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter. 268-283 - Wanming Huang, Richard Yi Da Xu
Realistic Image Generation using Region-phrase Attention. 284-299 - Wanming Huang, Richard Yi Da Xu
Efficient Diversified Mini-Batch Selection using Variable High-layer Features. 300-315 - Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott:
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. 316-331 - Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d'Alché-Buc:
Functional Isolation Forest. 332-347 - Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen:
Latent Multi-view Semi-Supervised Classification. 348-362 - Wenxuan Zhang, Dong Zhang, Xinguang Xiang:
Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification. 363-378 - Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka:
FEARS: a Feature and Representation Selection approach for Time Series Classification. 379-394 - Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang:
Unified Policy Optimization for Robust Reinforcement Learning. 395-410 - Ze-Sen Chen, Min-Ling Zhang:
Multi-Label Learning with Regularization Enriched Label-Specific Features. 411-424 - Qingxuan Zhang, Chongyang Shi:
An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification. 425-440 - Lishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren:
Multi-modal Representation Learning for Successive POI Recommendation. 441-456 - Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang:
Forward and Backward Knowledge Transfer for Sentiment Classification. 457-472 - Masato Ishii, Takashi Takenouchi, Masashi Sugiyama:
Zero-shot Domain Adaptation Based on Attribute Information. 473-488 - Inyoung Paik, Taeyeong Kwak, Injung Kim:
Capsule Networks Need an Improved Routing Algorithm. 489-502 - Ryoma Sato, Makoto Yamada, Hisashi Kashima:
Learning to Sample Hard Instances for Graph Algorithms. 503-518 - Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang:
Multi-branch Siamese Network for High Performance Online Visual Tracking. 519-534 - Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda:
Exemplar Based Mixture Models with Censored Data. 535-550 - Keisuke Kawano, Satoshi Koide, Takuro Kutsuna:
Canonical Soft Time Warping. 551-566 - Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li:
Self-Weighted Multi-View Clustering with Deep Matrix Factorization. 567-582 - Takayuki Osogami, Toshihiro Takahashi:
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition. 583-598 - Yuan Guo, Jennifer G. Dy, Deniz Erdogmus, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis:
Variational Inference from Ranked Samples with Features. 599-614 - Alex Yuxuan Peng, Yun Sing Koh
Investigating the effect of novel classes in semi-supervised learning. 615-630 - Chenhui Huang, Jinhua Xu:
An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network. 631-645 - Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang:
Text Length Adaptation in Sentiment Classification. 646-661 - Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan:
A Generalization Bound for Online Variational Inference. 662-677 - Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. 678-693 - Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai:
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. 694-709 - Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo:
Improving Statute Prediction via Mining Correlations between Statutes. 710-725 - Liu Han, Hailong Wu, Nan Hu, Binbin Qu:
Convolutional Neural Collaborative Filtering with Stacked Embeddings. 726-741 - Yichan Liang, Jianheng Li, Jian Yin:
A New Multi-choice Reading Comprehension Dataset for Curriculum Learning. 742-757 - Shiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang, Guo Yu, Mingyao Hou, Hengchang Liu:
Prediction of Crowd Flow in City Complex with Missing Data. 758-773 - Tsuyoshi Kato, Yoshihiro Hirohashi:
Learning Weighted Top-k Support Vector Machine. 774-789 - Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian Tab, Mahdi Jalili, Parham Moradi:
Self-Paced Multi-Label Learning with Diversity. 790-805 - Wei Zhang, Chris Challis:
Software Component Prediction for Bug Reports. 806-821 - Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed:
Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification. 822-835 - Vidyadhar Upadhya, P. S. Sastry:
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates. 836-851 - Jinkai Cui, Weihong Li
Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring. 852-867 - Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda:
Adaptive truncated residual regression for fine-grained regression problems. 868-882 - Jian Lv, Xie Han, Jiajie Zheng, Fengguang Xiong, Min Pang:
Surface Reconstruction based on Self-Merging Octree with Deep Learning. 883-896 - Ying-Jian Li, Yao Lu, Jinxing Li, Guangming Lu:
Separate Loss for Basic and Compound Facial Expression Recognition in the Wild. 897-911 - Jiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang, Zhongzhi Luan, Depei Qian:
LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection. 912-923 - Chongqin Lei, Weiguo Gong, Zixu Wang:
Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification. 924-939 - Zhuobin Zheng, Youcheng Ben, Chun Yuan:
Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching. 940-955 - Naoya Takeishi:
Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators. 956-971 - Xiaoming Liu, Zhengsheng Guo, Bo Li, Jun Cao:
Nuclei segmentation by using convolutional network with distance map and contour information. 972-986 - Xiaoming Liu, Xiangkai Wei, Aihui Yu, Zhifang Pan:
Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network. 987-1000 - Xiukun Sun, Miaomiao Cheng, Chen Min, Liping Jing:
Self-Supervised Deep Multi-View Subspace Clustering. 1001-1016 - Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima:
Active Change-Point Detection. 1017-1032 - Geon-hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim:
Trust Region Sequential Variational Inference. 1033-1048 - Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang:
SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. 1049-1064 - Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi:
Hyperbolic Ordinal Embedding. 1065-1080 - Joonbo Shin, Yoonhyung Lee, Kyomin Jung:
Effective Sentence Scoring Method Using BERT for Speech Recognition. 1081-1093 - Henry Gouk, Bernhard Pfahringer, Eibe Frank:
Stochastic Gradient Trees. 1094-1109 - Vitalik Melnikov, Eyke Hüllermeier:
Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA. 1110-1125 - Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich:
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension. 1126-1141 - Youngnam Kim, Seungjin Choi:
Forward-Backward Generative Adversarial Networks for Anomaly Detection. 1142-1155 - Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin:
Improving Relation Classification by Entity Pair Graph. 1156-1171 - Jihun Choi, Taeuk Kim, Sang-goo Lee:
Cell-aware Stacked LSTMs for Modeling Sentences. 1172-1187 - Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh, Khoat Than:
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. 1188-1203 - Xing Wu, Lifeng Huang, Chengying Gao:
G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors. 1204-1217
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