ML Anthology

ACML 2019

77 papers

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