Volume 101: Asian Conference on Machine Learning, 17-19 November 2019, Nagoya, Japan

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Editors: Wee Sun Lee, Taiji Suzuki

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Contents:

Preface

Asian Conference on Machine Learning: Preface

Wee Sun Lee, Taiji Suzuki ; PMLR 101:i-xvi

Accepted Papers

Random Projection in Neural Episodic Control

Daichi Nishio, Satoshi Yamane ; PMLR 101:1-15

Differentially Private Community Detection in Attributed Social Networks

Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li ; PMLR 101:16-31

Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning

John Yang, Gyuejeong Lee, Simyung Chang, Nojun Kwak ; PMLR 101:32-47

An Articulated Structure-aware Network for 3D Human Pose Estimation

Zhenhua Tang, Xiaoyan Zhang, Junhui Hou ; PMLR 101:48-63

A Continuous Actor-Critic Reinforcement Learning Approach to Flocking with Fixed-Wing UAVs

Chang Wang, Chao Yan, Xiaojia Xiang, Han Zhou ; PMLR 101:64-79

Multiple Empirical Kernel Learning with Discriminant Locality Preservation

Bolu Wang, Dongdong Li, Zhe Wang ; PMLR 101:80-93

ResNet and Batch-normalization Improve Data Separability

Yasutaka Furusho, Kazushi Ikeda ; PMLR 101:94-108

Variational Conditional GAN for Fine-grained Controllable Image Generation

Mingqi Hu, Deyu Zhou, Yulan He ; PMLR 101:109-124

Deep Learning with a Rethinking Structure for Multi-label Classification

Yao-Yuan Yang, Yi-An Lin, Hong-Min Chu, Hsuan-Tien Lin ; PMLR 101:125-140

Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation

Kenta Konagayoshi, Kazuho Watanabe ; PMLR 101:141-156

Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders

Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang ; PMLR 101:157-172

Learning to Augment with Feature Side-information

Amina Mollaysa, Alexandros Kalousis, Eric Bruno, Maurits Diephuis ; PMLR 101:173-187

An Encoding Adversarial Network for Anomaly Detection

Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel ; PMLR 101:188-203

Model-Based Reinforcement Learning Exploiting State-Action Equivalence

Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard ; PMLR 101:204-219

A Model of Text-Enhanced Knowledge Graph Representation Learning with Collaborative Attention

Yashen Wang, Huanhuan Zhang, Haiyong Xie ; PMLR 101:220-235

SPCDet: Enhancing Object Detection with Combined Feature Fusing

Haixin Wang, Lintao Wu, Qiongzhi Wu ; PMLR 101:236-251

$\mathcal{X}$-Armed Bandits: Optimizing Quantiles, CVaR and Other Risks

Léonard Torossian, Aurélien Garivier, Victor Picheny ; PMLR 101:252-267

Optimal PAC-Bayesian Posteriors for Stochastic Classifiers and their use for Choice of SVM Regularization Parameter

Puja Sahu, Nandyala Hemachandra ; PMLR 101:268-283

Realistic Image Generation using Region-phrase Attention

Wanming Huang, Richard Yi Da Xu, Ian Oppermann ; PMLR 101:284-299

Efficient Diversified Mini-Batch Selection using Variable High-layer Features

Wanming Huang, Richard Yi Da Xu, Ian Oppermann ; PMLR 101:300-315

Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening

Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott ; PMLR 101:316-331

Functional Isolation Forest

Guillaume Staerman, Pavlo Mozharovskyi, Stephan Clémençon, Florence d’Alché-Buc ; PMLR 101:332-347

Latent Multi-view Semi-Supervised Classification

Xiaofan Bo, Zhao Kang, Zhitong Zhao, Yuanzhang Su, Wenyu Chen ; PMLR 101:348-362

Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification

Wenxuan Zhang, Dong Zhang, Xinguang Xiang ; PMLR 101:363-378

FEARS: a Feature and Representation Selection approach for Time Series Classification

Alexis Bondu, Dominique Gay, Vincent Lemaire, Marc Boullé, Eole Cervenka ; PMLR 101:379-394

Unified Policy Optimization for Robust Reinforcement Learning

Zichuan Lin, Li Zhao, Jiang Bian, Tao Qin, Guangwen Yang ; PMLR 101:395-410

Multi-Label Learning with Regularization Enriched Label-Specific Features

Ze-Sen Chen, Min-Ling Zhang ; PMLR 101:411-424

An Attentive Memory Network Integrated with Aspect Dependency for Document-Level Multi-Aspect Sentiment Classification

Qingxuan Zhang, Chongyang Shi ; PMLR 101:425-440

Multi-modal Representation Learning for Successive POI Recommendation

Lishan Li, Ying Liu, Jianping Wu, Lin He, Gang Ren ; PMLR 101:441-456

Forward and Backward Knowledge Transfer for Sentiment Classification

Hao Wang, Bing Liu, Shuai Wang, Nianzu Ma, Yan Yang ; PMLR 101:457-472

Zero-shot Domain Adaptation Based on Attribute Information

Masato Ishii, Takashi Takenouchi, Masashi Sugiyama ; PMLR 101:473-488

Capsule Networks Need an Improved Routing Algorithm

Inyoung Paik, Taeyeong Kwak, Injung Kim ; PMLR 101:489-502

Learning to Sample Hard Instances for Graph Algorithms

Ryoma Sato, Makoto Yamada, Hisashi Kashima ; PMLR 101:503-518

Multi-branch Siamese Network for High Performance Online Visual Tracking

Junfei Zhuang, Yuan Dong, Hongliang Bai, Gang Wang ; PMLR 101:519-534

Exemplar Based Mixture Models with Censored Data

Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda ; PMLR 101:535-550

Canonical Soft Time Warping

Keisuke Kawano, Satoshi Koide, Takuro Kutsuna ; PMLR 101:551-566

Self-Weighted Multi-View Clustering with Deep Matrix Factorization

Beilei Cui, Hong Yu, Tiantian Zhang, Siwen Li ; PMLR 101:567-582

Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition

Takayuki Osogami, Toshihiro Takahashi ; PMLR 101:583-598

Variational Inference from Ranked Samples with Features

Yuan Guo, Jennifer Dy, Deniz Erdoğmuş, Jayashree Kalpathy-Cramer, Susan Ostmo, J. Peter Campbell, Michael F. Chiang, Stratis Ioannidis ; PMLR 101:599-614

Investigating the effect of novel classes in semi-supervised learning

Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer ; PMLR 101:615-630

An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network

Chenhui Huang, Jinhua Xu ; PMLR 101:631-645

Text Length Adaptation in Sentiment Classification

Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang ; PMLR 101:646-661

A Generalization Bound for Online Variational Inference

Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan ; PMLR 101:662-677

Regularizing Neural Networks via Stochastic Branch Layers

Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho ; PMLR 101:678-693

SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA

Satoshi Hara, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai ; PMLR 101:694-709

Improving Statute Prediction via Mining Correlations between Statutes

Yi Feng, Chuanyi Li, Jidong Ge, Bin Luo ; PMLR 101:710-725

Convolutional Neural Collaborative Filtering with Stacked Embeddings

Liu Han, Hailong Wu, Nan Hu, Binbin Qu ; PMLR 101:726-741

A New Multi-choice Reading Comprehension Dataset for Curriculum Learning

Yichan Liang, Jianheng Li, Jian Yin ; PMLR 101:742-757

Prediction of Crowd Flow in City Complex with Missing Data

Shiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang, Guo Yu, Mingyao Hou, Hengchang Liu ; PMLR 101:758-773

Learning Weighted Top-$k$ Support Vector Machine

Tsuyoshi Kato, Yoshihiro Hirohashi ; PMLR 101:774-789

Self-Paced Multi-Label Learning with Diversity

Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian, Mahdi Jalili, Parham Moradi ; PMLR 101:790-805

Software Component Prediction for Bug Reports

Wei Zhang, Chris Challis ; PMLR 101:806-821

Focused Anchors Loss: cost-sensitive learning of discriminative features for imbalanced classification

Bahram K. Baloch, Sateesh Kumar, Sanjay Haresh, Abeerah Rehman, Tahir Syed ; PMLR 101:822-835

Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates

Vidyadhar Upadhya, P S Sastry ; PMLR 101:836-851

Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring

Jinkai Cui, Weihong Li, Wei Guo, Weiguo Gong ; PMLR 101:852-867

Adaptive truncated residual regression for fine-grained regression problems

Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda ; PMLR 101:868-882

Surface Reconstruction based on Self-Merging Octree with Deep Learning

Jian Lv, Xie Han, Jiajie Zheng, Fengguang Xiong, Min Pang ; PMLR 101:883-896

Separate Loss for Basic and Compound Facial Expression Recognition in the Wild

Yingjian Li, Yao Lu, Jinxing Li, Guangming Lu ; PMLR 101:897-911

LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection

Jiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang, Zhongzhi Luan, Depei Qian ; PMLR 101:912-923

Fusing Recalibrated Features and Depthwise Separable Convolution for the Mangrove Bird Sound Classification

Chongqin Lei, Weiguo Gong, Zixu Wang ; PMLR 101:924-939

Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching

Zhuobin Zheng, Youcheng Ben, Chun Yuan ; PMLR 101:940-955

Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators

Naoya Takeishi ; PMLR 101:956-971

Nuclei segmentation by using convolutional network with distance map and contour information

Xiaoming Liu, Zhengsheng Guo, Bo Li, Jun Cao ; PMLR 101:972-986

Unpaired Data based Cross-domain Synthesis and Segmentation Using Attention Neural Network

Xiaoming Liu, Xiangkai Wei, Aihui Yu, Zhifang Pan ; PMLR 101:987-1000

Self-Supervised Deep Multi-View Subspace Clustering

Xiukun Sun, Miaomiao Cheng, Chen Min, Liping Jing ; PMLR 101:1001-1016

Active Change-Point Detection

Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima ; PMLR 101:1017-1032

Trust Region Sequential Variational Inference

Geon-Hyeong Kim, Youngsoo Jang, Jongmin Lee, Wonseok Jeon, Hongseok Yang, Kee-Eung Kim ; PMLR 101:1033-1048

SDC-causing Error Detection Based on Lightweight Vulnerability Prediction

Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang ; PMLR 101:1049-1064

Hyperbolic Ordinal Embedding

Atsushi Suzuki, Jing Wang, Feng Tian, Atsushi Nitanda, Kenji Yamanishi ; PMLR 101:1065-1080

Effective Sentence Scoring Method Using BERT for Speech Recognition

Joonbo Shin, Yoonhyung Lee, Kyomin Jung ; PMLR 101:1081-1093

Stochastic Gradient Trees

Henry Gouk, Bernhard Pfahringer, Eibe Frank ; PMLR 101:1094-1109

Learning to Aggregate: Tackling the Aggregation/Disaggregation Problem for OWA

Vitalik Melnikov, Eyke Hüllermeier ; PMLR 101:1110-1125

Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension

Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich ; PMLR 101:1126-1141

Forward-Backward Generative Adversarial Networks for Anomaly Detection

Youngnam Kim, Seungjin Choi ; PMLR 101:1142-1155

Improving Relation Classification by Entity Pair Graph

Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin ; PMLR 101:1156-1171

Cell-aware Stacked LSTMs for Modeling Sentences

Jihun Choi, Taeuk Kim, Sang-goo Lee ; PMLR 101:1172-1187

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, Linh Ngo Van, Khoat Than ; PMLR 101:1188-1203

G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors

Xing Wu, Lifeng Huang, Chengying Gao ; PMLR 101:1204-1217

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