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ORCID10th ACML 2018: Beijing, China
- Jun Zhu, Ichiro Takeuchi:
Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. Proceedings of Machine Learning Research 95, PMLR 2018 - Preface. i-xiv
- Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin:
Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. 1-16 - Hong Yu, Tiantian Zhang, Yahong Lian
, Yu Cai:
Co-regularized Multi-view Subspace Clustering. 17-32 - Ping Li, Songcan Chen:
Feature-correlation-aware Gaussian Process Latent Variable Model. 33-48 - Yaling Tao, Kentaro Takagi, Kouta Nakata:
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets. 49-64 - Çigdem Ak, Önder Ergönül, Mehmet Gönen:
Structured Gaussian Processes with Twin Multiple Kernel Learning. 65-80 - Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao:
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching. 81-96 - Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li:
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. 97-112 - Yicun Liu, Jimmy S. J. Ren, Jianbo Liu, Xiaohao Chen:
Learning Selfie-Friendly Abstraction from Artistic Style Images. 113-128 - Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Clustering Induced Kernel Learning. 129-144 - Zhiyuan Zha, Xin Yuan, Bihan Wen, Jiantao Zhou, Ce Zhu:
Joint Patch-Group Based Sparse Representation for Image Inpainting. 145-160 - Yanbo Ma, Jiarui Sun, Qiuhao Zhou, Kaili Cheng, Xuesong Chen, Yong Zhao:
CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection. 161-175 - Kenya Ukai, Takashi Matsubara, Kuniaki Uehara:
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. 176-191 - Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. 192-207 - Guopeng Zhang, Jinhua Xu:
Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss. 208-219 - Guopeng Zhang, Jinhua Xu:
Person Re-identification by Mid-level Attribute and Part-based Identity Learning. 220-231 - Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li:
Clustering Uncertain Graphs with Node Attributes. 232-247 - Lifeng Shen, Qianli Ma, Sen Li:
End-to-End Time Series Imputation via Residual Short Paths. 248-263 - Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu:
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA. 264-279 - Bin Liu, Grigorios Tsoumakas:
Making Classifier Chains Resilient to Class Imbalance. 280-295 - Yan Hu, Keyan Wang, Xi Zhao, Hui Wang, Yunsong Li:
Underwater Image Restoration Based on Convolutional Neural Network. 296-311 - Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin:
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. 312-326 - Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr:
Deep Fully-Connected Part-Based Models for Human Pose Estimation. 327-342 - Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt:
A Faster Sampling Algorithm for Spherical k-means. 343-358 - Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung:
Batch Normalized Deep Boltzmann Machines. 359-374 - Chen Shen, Yuhong Guo:
Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. 375-390 - Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park:
Adversarial TableQA: Attention Supervision for Question Answering on Tables. 391-406 - Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko:
Concorde: Morphological Agreement in Conversational Models. 407-421 - Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov:
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. 422-437 - Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak:
Extracting Invariant Features From Images Using An Equivariant Autoencoder. 438-453 - Hao Li, Yanyan Shen, Yanmin Zhu:
Stock Price Prediction Using Attention-based Multi-Input LSTM. 454-469 - Huayi Zhou, Fei Jiang, Ruimin Shen:
Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation. 470-485 - Chong Shang, Haizhou Ai, Zijie Zhuang, Long Chen, Junliang Xing:
ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection. 486-501 - Shaoning Zeng, Bob Zhang, Yanghao Zhang, Jianping Gou:
Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. 502-517 - Yanzeng Li, Tingwen Liu, Diying Li, Quangang Li, Jinqiao Shi, Yanqiu Wang:
Character-based BiLSTM-CRF Incorporating POS and Dictionaries for Chinese Opinion Target Extraction. 518-533 - Lijun Wu, Yingce Xia, Fei Tian, Li Zhao, Tao Qin, Jianhuang Lai, Tie-Yan Liu:
Adversarial Neural Machine Translation. 534-549 - Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Deep Embedded Clustering with Data Augmentation. 550-565 - Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu:
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. 566-581 - Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li:
CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning. 582-597 - Huan Li, Zhouchen Lin:
Construction of Incoherent Dictionaries via Direct Babel Function Minimization. 598-613 - Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin:
Optimization Algorithm Inspired Deep Neural Network Structure Design. 614-629 - Hongli Wang, Jiangtao Ren:
A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification. 630-645 - Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li:
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. 646-661 - Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu, Junzhou Huang:
Deep Multi-instance Learning with Dynamic Pooling. 662-677 - Xiaochen Wang, Yanyan Shen, Yanmin Zhu:
A Data Driven Approach to Predicting Rating Scores for New Restaurants. 678-693 - Mastane Achab, Stéphan Clémençon, Aurélien Garivier:
Profitable Bandits. 694-709 - Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang:
Fast Randomized PCA for Sparse Data. 710-725 - Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang:
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems. 726-739 - Chuang-Chieh Lin, Chi-Jen Lu:
Efficient Mechanisms for Peer Grading and Dueling Bandits. 740-755 - Junjie Fu, Gongshen Liu:
A Joint Selective Mechanism for Abstractive Sentence Summarization. 756-769 - Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi:
Fast Dynamic Convolutional Neural Networks for Visual Tracking. 770-785 - Ryo Takahashi, Takashi Matsubara, Kuniaki Uehara:
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. 786-798 - Hui Han Chin, Paul Pu Liang:
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering. 799-814 - Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin:
ASVRG: Accelerated Proximal SVRG. 815-830 - Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li:
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. 831-846 - Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang:
TVT: Two-View Transformer Network for Video Captioning. 847-862 - Tongtong Zhao, Yuxiao Yan, Jinjia Peng, HaoHui Wei, Xianping Fu:
Refining Synthetic Images with Semantic Layouts by Adversarial Training. 863-878 - Zeshang Zhang, Yingming Li, Zhongfei Zhang:
Relative Attribute Learning with Deep Attentive Cross-image Representation. 879-892
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