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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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