Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | |
Asian Conference on Machine Learning: Preface. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Yi Feng 0005, Chuanyi Li, Jidong Ge, Bin Luo 0003 |
Improving Statute Prediction via Mining Correlations between Statutes. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Kenta Konagayoshi, Kazuho Watanabe |
Minimax Online Prediction of Varying Bernoulli Process under Variational Approximation. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Guillaume Staerman, Pavlo Mozharovskyi, Stéphan Clémençon, Florence d'Alché-Buc |
Functional Isolation Forest. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Wenxuan Zhang, Dong Zhang, Xinguang Xiang |
Cascaded and Dual: Discrimination Oriented Network for Brain Tumor Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Vidyadhar Upadhya, P. S. Sastry |
Efficient Learning of Restricted Boltzmann Machines Using Covariance Estimates. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Ze-Sen Chen, Min-Ling Zhang |
Multi-Label Learning with Regularization Enriched Label-Specific Features. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Zhenhua Tang, Xiaoyan Zhang 0002, Junhui Hou |
An Articulated Structure-aware Network for 3D Human Pose Estimation. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Yasutaka Furusho, Kazushi Ikeda |
ResNet and Batch-normalization Improve Data Separability. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Masato Ishii, Takashi Takenouchi, Masashi Sugiyama |
Zero-shot Domain Adaptation Based on Attribute Information. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Xiukun Sun, Miaomiao Cheng, Chen Min, Liping Jing |
Self-Supervised Deep Multi-View Subspace Clustering. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Yichan Liang, Jianheng Li, Jian Yin 0001 |
A New Multi-choice Reading Comprehension Dataset for Curriculum Learning. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Elies Gherbi, Blaise Hanczar, Jean-Christophe Janodet, Witold Klaudel |
An Encoding Adversarial Network for Anomaly Detection. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Wei Zhang, Chris Challis |
Software Component Prediction for Bug Reports. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Shogo Hayashi, Yoshinobu Kawahara, Hisashi Kashima |
Active Change-Point Detection. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Hirotaka Hachiya, Yu Yamamoto, Kazuro Hirahara, Naonori Ueda |
Adaptive truncated residual regression for fine-grained regression problems. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Chenhui Huang, Jinhua Xu |
An Anchor-Free Oriented Text Detector with Connectionist Text Proposal Network. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Takayuki Osogami, Toshihiro Takahashi |
Real-time tree search with pessimistic scenarios: Winning the NeurIPS 2018 Pommerman Competition. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Shiyang Qiu, Peng Xu, Wei Zheng, Junjie Wang 0006, Guo Yu, Mingyao Hou, Hengchang Liu |
Prediction of Crowd Flow in City Complex with Missing Data. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Xiaofan Bo, Zhao Kang 0001, Zhitong Zhao, Yuanzhang Su, Wenyu Chen |
Latent Multi-view Semi-Supervised Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Masahiro Kohjima, Tatsushi Matsubayashi, Hiroyuki Toda |
Exemplar Based Mixture Models with Censored Data. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Atsushi Suzuki, Jing Wang 0023, Feng Tian 0006, Atsushi Nitanda, Kenji Yamanishi |
Hyperbolic Ordinal Embedding. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Cheng Liu, Jingjing Gu, Zujia Yan, Fuzhen Zhuang, Yunyun Wang |
SDC-causing Error Detection Based on Lightweight Vulnerability Prediction. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li 0001 |
Differentially Private Community Detection in Attributed Social Networks. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Seyed Amjad Seyedi, S. Siamak Ghodsi, Fardin Akhlaghian Tab, Mahdi Jalili, Parham Moradi |
Self-Paced Multi-Label Learning with Diversity. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Alexis Bondu, Dominique Gay, Vincent Lemaire 0001, Marc Boullé, Eole Cervenka |
FEARS: a Feature and Representation Selection approach for Time Series Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Wanming Huang, Richard Yi Da Xu, Ian J. Oppermann |
Efficient Diversified Mini-Batch Selection using Variable High-layer Features. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Ying-Jian Li, Yao Lu, Jinxing Li, Guangming Lu |
Separate Loss for Basic and Compound Facial Expression Recognition in the Wild. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Jiaming Zhou, Yuqiao Tian, Weicheng Li, Rui Wang 0014, Zhongzhi Luan, Depei Qian |
LADet: A Light-weight and Adaptive Network for Multi-scale Object Detection. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Satoshi Hara 0001, Weichih Chen, Takashi Washio, Tetsuichi Wazawa, Takeharu Nagai |
SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Marina Gomtsyan, Nikita Mokrov, Maxim Panov, Yury Yanovich |
Geometry-Aware Maximum Likelihood Estimation of Intrinsic Dimension. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Yi Zhao, Huaiyu Wan, Jianwei Gao, Youfang Lin |
Improving Relation Classification by Entity Pair Graph. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Mahsa Asadi, Mohammad Sadegh Talebi, Hippolyte Bourel, Odalric-Ambrym Maillard |
Model-Based Reinforcement Learning Exploiting State-Action Equivalence. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Alex Yuxuan Peng, Yun Sing Koh, Patricia Riddle, Bernhard Pfahringer |
Investigating the effect of novel classes in semi-supervised learning. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Mingqi Hu, Deyu Zhou, Yulan He 0001 |
Variational Conditional GAN for Fine-grained Controllable Image Generation. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Bolu Wang, Dongdong Li, Zhe Wang 0002 |
Multiple Empirical Kernel Learning with Discriminant Locality Preservation. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Jian Lv, Xie Han, Jiajie Zheng, Fengguang Xiong, Min Pang |
Surface Reconstruction based on Self-Merging Octree with Deep Learning. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Naoya Takeishi |
Kernel Learning for Data-Driven Spectral Analysis of Koopman Operators. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Joonbo Shin, Yoonhyung Lee, Kyomin Jung |
Effective Sentence Scoring Method Using BERT for Speech Recognition. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Zhuobin Zheng, Youcheng Ben, Chun Yuan |
Multi-Scale Visual Semantics Aggregation with Self-Attention for End-to-End Image-Text Matching. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Badr-Eddine Chérief-Abdellatif, Pierre Alquier, Mohammad Emtiyaz Khan |
A Generalization Bound for Online Variational Inference. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Merlin Schüler, Hlynur Davíð Hlynsson, Laurenz Wiskott |
Gradient-based Training of Slow Feature Analysis by Differentiable Approximate Whitening. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Xiaoming Liu 0004, Zhengsheng Guo, Bo Li, Jun Cao |
Nuclei segmentation by using convolutional network with distance map and contour information. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Anh Phan Tuan, Nhat Nguyen Trong, Duong Bui Trong, Ngo Van Linh 0001, Khoat Than |
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Beilei Cui, Hong Yu 0005, Tiantian Zhang, Siwen Li |
Self-Weighted Multi-View Clustering with Deep Matrix Factorization. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Jinkai Cui, Weihong Li, Wei Guo, Weiguo Gong |
Multi-width Activation and Multiple Receptive Field Networks for Dynamic Scene Deblurring. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Xing Wu, Lifeng Huang, Chengying Gao |
G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang |
Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-encoders. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Reinald Kim Amplayo, Seonjae Lim, Seung-won Hwang |
Text Length Adaptation in Sentiment Classification. |
ACML |
2019 |
DBLP BibTeX RDF |
|
1 | Hao Li, Yanyan Shen, Yanmin Zhu |
Stock Price Prediction Using Attention-based Multi-Input LSTM. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Kenya Ukai, Takashi Matsubara 0001, Kuniaki Uehara |
Hypernetwork-based Implicit Posterior Estimation and Model Averaging of CNN. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Huan Li 0007, Zhouchen Lin |
Construction of Incoherent Dictionaries via Direct Babel Function Minimization. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Xuhui Chen, Jinlong Ji, Lixing Yu, Changqing Luo, Pan Li 0001 |
SecureNets: Secure Inference of Deep Neural Networks on an Untrusted Cloud. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Lijun Wu, Yingce Xia, Fei Tian, Li Zhao 0007, Tao Qin 0001, Jianhuang Lai, Tie-Yan Liu |
Adversarial Neural Machine Translation. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Çigdem Ak, Önder Ergönül, Mehmet Gönen |
Structured Gaussian Processes with Twin Multiple Kernel Learning. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Iurii Kemaev, Daniil Polykovskiy, Dmitry P. Vetrov |
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Guopeng Zhang, Jinhua Xu |
Person Re-identification by Mid-level Attribute and Part-based Identity Learning. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Chen Shen, Yuhong Guo |
Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Hung Vu, Tu Dinh Nguyen, Trung Le, Wei Luo, Dinh Q. Phung |
Batch Normalized Deep Boltzmann Machines. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yan Hu, Keyan Wang, Xi Zhao, Hui Wang, Yunsong Li |
Underwater Image Restoration Based on Convolutional Neural Network. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Ryo Takahashi, Takashi Matsubara 0001, Kuniaki Uehara |
RICAP: Random Image Cropping and Patching Data Augmentation for Deep CNNs. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Minseok Cho, Reinald Kim Amplayo, Seung-won Hwang, Jonghyuck Park |
Adversarial TableQA: Attention Supervision for Question Answering on Tables. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | 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 |
DBLP BibTeX RDF |
|
1 | Xin Wen, Zheng-Jun Zha, Zilei Wang, Liansheng Zhuang, Houqiang Li |
CCNet: Cluster-Coordinated Net for Learning Multi-agent Communication Protocols with Reinforcement Learning. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Huan Li 0007, Yibo Yang, Dongmin Chen, Zhouchen Lin |
Optimization Algorithm Inspired Deep Neural Network Structure Design. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Ming Chen, Yingming Li, Zhongfei Zhang, Siyu Huang |
TVT: Two-View Transformer Network for Video Captioning. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yao Liu 0017, Jun Sun, Qing Yao, Su Wang 0005, Kai Zheng 0008, Yan Liu |
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Hui Han Chin, Paul Pu Liang |
An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, Jie Tang 0001 |
Fast Randomized PCA for Sparse Data. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Mastane Achab, Stéphan Clémençon, Aurélien Garivier |
Profitable Bandits. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Zeshang Zhang, Yingming Li, Zhongfei Zhang |
Relative Attribute Learning with Deep Attentive Cross-image Representation. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Daniil Polykovskiy, Dmitry Soloviev, Sergey I. Nikolenko |
Concorde: Morphological Agreement in Conversational Models. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Denis Kuzminykh, Daniil Polykovskiy, Alexander Zhebrak |
Extracting Invariant Features From Images Using An Equivariant Autoencoder. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Li Zhang, Quanhong Wang, Haihua Lu, Yong Zhao |
End-to-End Learning of Multi-scale Convolutional Neural Network for Stereo Matching. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Rameshwar Pratap, Anup Anand Deshmukh, Pratheeksha Nair, Tarun Dutt |
A Faster Sampling Algorithm for Spherical $k$-means. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Hongli Wang, Jiangtao Ren |
A Self-Attentive Hierarchical Model for Jointly Improving Text Summarization and Sentiment Classification. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yaling Tao, Kentaro Takagi, Kouta Nakata |
RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Tongtong Zhao, Yuxiao Yan, Jinjia Peng, HaoHui Wei, Xianping Fu |
Refining Synthetic Images with Semantic Layouts by Adversarial Training. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Chuang-Chieh Lin, Chi-Jen Lu |
Efficient Mechanisms for Peer Grading and Dueling Bandits. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Junhong Huang, Mingkui Tan, Yuguang Yan, Chunmei Qing, Qingyao Wu, Zhuliang Yu |
Cartoon-to-Photo Facial Translation with Generative Adversarial Networks. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Hong Yu 0005, Tiantian Zhang, Yahong Lian, Yu Cai |
Co-regularized Multi-view Subspace Clustering. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Zhiyuan Zha, Xin Yuan 0002, Bihan Wen, Jiantao Zhou 0001, Ce Zhu |
Joint Patch-Group Based Sparse Representation for Image Inpainting. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Lifeng Shen, Qianli Ma 0001, Sen Li |
End-to-End Time Series Imputation via Residual Short Paths. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Bin Liu 0058, Grigorios Tsoumakas |
Making Classifier Chains Resilient to Class Imbalance. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | 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 |
DBLP BibTeX RDF |
|
1 | Guopeng Zhang, Jinhua Xu |
Discriminative Feature Representation for Person Re-identification by Batch-contrastive Loss. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Junyuan Shang, Shenda Hong, Yuxi Zhou, Meng Wu, Hongyan Li 0002 |
Knowledge Guided Multi-instance Multi-label Learning via Neural Networks in Medicines Prediction. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | |
Preface. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Ping Li 0041, Songcan Chen |
Feature-correlation-aware Gaussian Process Latent Variable Model. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yafang Li, Xiangnan Kong, Caiyan Jia, Jianqiang Li 0002 |
Clustering Uncertain Graphs with Node Attributes. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yuan Jin, Mark J. Carman, Ye Zhu 0002, Wray L. Buntine |
Distinguishing Question Subjectivity from Difficulty for Improved Crowdsourcing. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Xiaochen Wang, Yanyan Shen, Yanmin Zhu |
A Data Driven Approach to Predicting Rating Scores for New Restaurants. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Jun Zhu 0001, Ichiro Takeuchi (eds.) |
Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Xifeng Guo 0001, En Zhu, Xinwang Liu 0002, Jianping Yin |
Deep Embedded Clustering with Data Augmentation. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Chong Shang, Haizhou Ai, Zijie Zhuang, Long Chen 0024, Junliang Xing |
ZoomNet: Deep Aggregation Learning for High-Performance Small Pedestrian Detection. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Khanh Nguyen, Nhan Dam, Trung Le, Tu Dinh Nguyen, Dinh Q. Phung |
Clustering Induced Kernel Learning. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun 0001, Jialin Zhang 0001 |
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li 0001 |
Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Junjie Fu, Gongshen Liu |
A Joint Selective Mechanism for Abstractive Sentence Summarization. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Shaoning Zeng, Bob Zhang 0001, Yanghao Zhang, Jianping Gou |
Collaboratively Weighting Deep and Classic Representation via $l_2$ Regularization for Image Classification. |
ACML |
2018 |
DBLP BibTeX RDF |
|