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Publication search results
found 59 matches
- 2018
- Huan Li, Zhouchen Lin:
Construction of Incoherent Dictionaries via Direct Babel Function Minimization. ACML 2018: 598-613 - Huan Li, Yibo Yang, Dongmin Chen, Zhouchen Lin:
Optimization Algorithm Inspired Deep Neural Network Structure Design. ACML 2018: 614-629 - Mastane Achab, Stéphan Clémençon, Aurélien Garivier:
Profitable Bandits. ACML 2018: 694-709 - Çigdem Ak, Önder Ergönül, Mehmet Gönen:
Structured Gaussian Processes with Twin Multiple Kernel Learning. ACML 2018: 65-80 - Rodrigo Andrade de Bem, Anurag Arnab, Stuart Golodetz, Michael Sapienza, Philip H. S. Torr:
Deep Fully-Connected Part-Based Models for Human Pose Estimation. ACML 2018: 327-342 - Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li:
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. ACML 2018: 646-661 - Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang:
TVT: Two-View Transformer Network for Video Captioning. ACML 2018: 847-862 - Hui Han Chin, Paul Pu Liang:
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering. ACML 2018: 799-814 - Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park:
Adversarial TableQA: Attention Supervision for Question Answering on Tables. ACML 2018: 391-406 - Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi:
Fast Dynamic Convolutional Neural Networks for Visual Tracking. ACML 2018: 770-785 - Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang:
Fast Randomized PCA for Sparse Data. ACML 2018: 710-725 - Junjie Fu, Gongshen Liu:
A Joint Selective Mechanism for Abstractive Sentence Summarization. ACML 2018: 756-769 - 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. ACML 2018: 97-112 - Xifeng Guo, En Zhu, Xinwang Liu, Jianping Yin:
Deep Embedded Clustering with Data Augmentation. ACML 2018: 550-565 - Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin:
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. ACML 2018: 312-326 - Yan Hu, Keyan Wang, Xi Zhao, Hui Wang, Yunsong Li:
Underwater Image Restoration Based on Convolutional Neural Network. ACML 2018: 296-311 - Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu:
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. ACML 2018: 566-581 - Yuan Jin, Mark J. Carman, Ye Zhu, Wray L. Buntine:
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. ACML 2018: 192-207 - Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov:
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. ACML 2018: 422-437 - Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak:
Extracting Invariant Features From Images Using An Equivariant Autoencoder. ACML 2018: 438-453 - Ping Li, Songcan Chen:
Feature-correlation-aware Gaussian Process Latent Variable Model. ACML 2018: 33-48 - Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li:
Clustering Uncertain Graphs with Node Attributes. ACML 2018: 232-247 - 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. ACML 2018: 518-533 - Hao Li, Yanyan Shen, Yanmin Zhu:
Stock Price Prediction Using Attention-based Multi-Input LSTM. ACML 2018: 454-469 - Chuang-Chieh Lin, Chi-Jen Lu:
Efficient Mechanisms for Peer Grading and Dueling Bandits. ACML 2018: 740-755 - Yicun Liu, Jimmy S. J. Ren, Jianbo Liu, Xiaohao Chen:
Learning Selfie-Friendly Abstraction from Artistic Style Images. ACML 2018: 113-128 - Yao Liu, Jun Sun, Qing Yao, Su Wang, Kai Zheng, Yan Liu:
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA. ACML 2018: 264-279 - Bin Liu, Grigorios Tsoumakas:
Making Classifier Chains Resilient to Class Imbalance. ACML 2018: 280-295 - 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. ACML 2018: 161-175 - Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung:
Clustering Induced Kernel Learning. ACML 2018: 129-144
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