Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
1 | Yicun Liu, Jimmy S. J. Ren, Jianbo Liu, Xiaohao Chen |
Learning Selfie-Friendly Abstraction from Artistic Style Images. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yongluan Yan, Xinggang Wang, Xiaojie Guo, Jiemin Fang, Wenyu Liu 0001, Junzhou Huang |
Deep Multi-instance Learning with Dynamic Pooling. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Chih-Yang Hsia, Wei-Lin Chiang, Chih-Jen Lin |
Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Zhiyan Cui, Na Lu, Xue Jing, Xiahao Shi |
Fast Dynamic Convolutional Neural Networks for Visual Tracking. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Fanhua Shang, Licheng Jiao, Kaiwen Zhou, James Cheng, Yan Ren, Yufei Jin |
ASVRG: Accelerated Proximal SVRG. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Yanbo Ma, Jiarui Sun, Qiuhao Zhou, Kaili Cheng, Xuesong Chen, Yong Zhao 0010 |
CHS-NET: A Cascaded Neural Network with Semi-Focal Loss for Mitosis Detection. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Huayi Zhou 0001, Fei Jiang, Ruimin Shen |
Who Are Raising Their Hands? Hand-Raiser Seeking Based on Object Detection and Pose Estimation. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Kaixiang Wang, Ming Yang 0014, Wanqi Yang, Yilong Yin |
Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. |
ACML |
2018 |
DBLP BibTeX RDF |
|
1 | Ryo Takahashi, Takashi Matsubara 0001, Kuniaki Uehara |
Scale-Invariant Recognition by Weight-Shared CNNs in Parallel. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Joeri R. Hermans, Gerasimos Spanakis, Rico Möckel |
Accumulated Gradient Normalization. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Christian J. Walder, Dongwoo Kim 0002 |
Computer Assisted Composition with Recurrent Neural Networks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Liang Pang, Yanyan Lan, Jun Xu 0001, Jiafeng Guo, Xueqi Cheng |
Locally Smoothed Neural Networks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Jose H. Blanchet, Yang Kang |
Distributionally Robust Groupwise Regularization Estimator. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | |
Preface. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Jichao Zhang, Fan Zhong, Gongze Cao, Xueying Qin |
ST-GAN: Unsupervised Facial Image Semantic Transformation Using Generative Adversarial Networks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Jiezhang Cao, Qingyao Wu, Yuguang Yan, Li Wang 0033, Mingkui Tan |
On the Flatness of Loss Surface for Two-layered ReLU Networks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma |
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Jie Liu, Dong Wang 0024, Yue Ding 0001 |
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Jin Tian 0001 |
Recovering Probability Distributions from Missing Data. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | F. A. Rezaur Rahman Chowdhury, Chao Ma 0001, Md Rakibul Islam 0001, Mohammad Hossein Namaki, Mohammad Omar Faruk, Janardhan Rao Doppa |
Select-and-Evaluate: A Learning Framework for Large-Scale Knowledge Graph Search. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc |
Data sparse nonparametric regression with ε-insensitive losses. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Ermao Cai, Da-Cheng Juan, Dimitrios Stamoulis, Diana Marculescu |
\emphNeuralPower: Predict and Deploy Energy-Efficient Convolutional Neural Networks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Jia-Ren Chang, Yong-Sheng Chen |
Deep Competitive Pathway Networks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Cuicui Kang, Shengcai Liao, Zhen Li 0011, Zigang Cao, Gang Xiong 0001 |
Learning Deep Semantic Embeddings for Cross-Modal Retrieval. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Yi Li, Aidong Adam Ding, Jennifer G. Dy |
Rate Optimal Estimation for High Dimensional Spatial Covariance Matrices. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Vu Nguyen 0001, Sunil Gupta 0001, Santu Rana, Cheng Li 0003, Svetha Venkatesh |
Regret for Expected Improvement over the Best-Observed Value and Stopping Condition. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Min-Ling Zhang, Yung-Kyun Noh (eds.) |
Proceedings of The 9th Asian Conference on Machine Learning, ACML 2017, Seoul, Korea, November 15-17, 2017. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Hong Tao, Chenping Hou, Jubo Zhu, Dongyun Yi |
Multi-view Clustering with Adaptively Learned Graph. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Hengyue Pan, Hui Jiang |
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Zeke Xie, Issei Sato |
A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Rongrong Zhang, Wei Deng 0002, Yu Michael Zhu |
Using Deep Neural Networks to Automate Large Scale Statistical Analysis for Big Data Applications. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Vidyadhar Upadhya, P. S. Sastry |
Learning RBM with a DC programming Approach. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Chaojie Mao, Yingming Li, Zhongfei Zhang, Yaqing Zhang, Xi Li 0001 |
Pyramid Person Matching Network for Person Re-identification. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Krista Longi, Teemu Pulkkinen, Arto Klami |
Semi-supervised Convolutional Neural Networks for Identifying Wi-Fi Interference Sources. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Xiaotian Jiang, Quan Wang 0002, Baoyuan Qi, Yongqin Qiu, Peng Li 0021, Bin Wang 0004 |
Attentive Path Combination for Knowledge Graph Completion. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Yang Yang 0074, De-Chuan Zhan, Ying Fan, Yuan Jiang 0001 |
Instance Specific Discriminative Modal Pursuit: A Serialized Approach. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Céline Brouard, Eric Bach 0002, Sebastian Böcker, Juho Rousu |
Magnitude-Preserving Ranking for Structured Outputs. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Sami Remes, Markus Heinonen, Samuel Kaski |
A Mutually-Dependent Hadamard Kernel for Modelling Latent Variable Couplings. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Tobias Glasmachers |
Limits of End-to-End Learning. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Ngo Anh Vien, Viet-Hung Dang, TaeChoong Chung |
A Covariance Matrix Adaptation Evolution Strategy for Direct Policy Search in Reproducing Kernel Hilbert Space. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | He Zhao 0001, Lan Du 0002, Wray L. Buntine |
A Word Embeddings Informed Focused Topic Model. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Wei Zhang, Said Kobeissi, Scott Tomko, Chris Challis |
Adaptive Sampling Scheme for Learning in Severely Imbalanced Large Scale Data. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Nicolas Goix, Nicolas Drougard, Romain Brault, Maël Chiapino |
One Class Splitting Criteria for Random Forests. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Magda Gregorová, Alexandros Kalousis, Stéphane Marchand-Maillet |
Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Yuanzhi Ke, Masafumi Hagiwara |
Radical-level Ideograph Encoder for RNN-based Sentiment Analysis of Chinese and Japanese. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Chao Ma 0001, Janardhan Rao Doppa, Prasad Tadepalli, Hamed Shahbazi, Xiaoli Z. Fern |
Multi-Task Structured Prediction for Entity Analysis: Search-Based Learning Algorithms. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Chih-Yang Hsia, Ya Zhu, Chih-Jen Lin |
A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Adrian Lecoutre, Benjamin Négrevergne, Florian Yger |
Recognizing Art Style Automatically in Painting with Deep Learning. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Tim Leathart, Eibe Frank, Geoffrey Holmes 0001, Bernhard Pfahringer |
Probability Calibration Trees. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Joel Ruben Antony Moniz, David Krueger |
Nested LSTMs. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Hiroaki Shiino, Hiroaki Sasaki, Gang Niu 0001, Masashi Sugiyama |
Whitening-Free Least-Squares Non-Gaussian Component Analysis. |
ACML |
2017 |
DBLP BibTeX RDF |
|
1 | Sayantan Dasgupta |
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Khanh Nguyen, Trung Le, Vu Nguyen 0001, Tu Dinh Nguyen, Dinh Q. Phung |
Multiple Kernel Learning with Data Augmentation. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Zheng Chen 0010, Yong Zhang, Yue Shang, Xiaohua Hu 0001 |
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang 0001 |
Learning Feature Aware Metric. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Young-Jun Ko, Lucas Maystre, Matthias Grossglauser |
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Liyan Song, Haiping Lu |
Proper Inner Product with Mean Displacement for Gaussian Noise Invariant ICA. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | |
Preface. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Yunwen Lei, Alexander Binder, Ürün Dogan, Marius Kloft |
Localized Multiple Kernel Learning - A Convex Approach. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Romain Brault, Markus Heinonen, Florence d'Alché-Buc |
Random Fourier Features For Operator-Valued Kernels. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Xianghua Fu, Wangwang Liu, Yingying Xu, Chong Yu, Ting Wang |
Long Short-term Memory Network over Rhetorical Structure Theory for Sentence-level Sentiment Analysis. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Kar Wai Lim, Young Lee, Leif Hanlen, Hongbiao Zhao |
Simulation and Calibration of a Fully Bayesian Marked Multidimensional Hawkes Process with Dissimilar Decays. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Yuan Gao, Dorota Glowacka |
Deep Gate Recurrent Neural Network. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Xiaoyan Yang, Shanshan Ying, Wenzhe Yu, Rong Zhang 0002, Zhenjie Zhang |
Enhancing Topic Modeling on Short Texts with Crowdsourcing. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Inbal Horev, Florian Yger, Masashi Sugiyama |
Geometry-aware stationary subspace analysis. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Vu Nguyen 0001, Sunil Gupta 0001, Santu Rana, Cheng Li 0003, Svetha Venkatesh |
A Bayesian Nonparametric Approach for Multi-label Classification. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Liyan Song, Haiping Lu |
EcoICA: Skewness-based ICA via Eigenvectors of Cumulant Operator. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Linbo Qiao, Bofeng Zhang, Jinshu Su, Xicheng Lu |
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Elaheh ShafieiBavani, Mohammad Ebrahimi, Raymond K. Wong 0001, Fang Chen 0001 |
An Efficient Approach for Multi-Sentence Compression. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Haoli Bai, Zenglin Xu, Bin Liu 0022, Yingming Li |
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Xianghua Fu, Ting Wang, Jing Li, Chong Yu, Wangwang Liu |
Improving Distributed Word Representation and Topic Model by Word-Topic Mixture Model. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Suresh Kirthi Kumaraswamy, P. S. Sastry, Kalpathi Ramakrishnan |
Bank of Weight Filters for Deep CNNs. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Ikko Yamane, Florian Yger, Maxime Berar, Masashi Sugiyama |
Multitask Principal Component Analysis. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Diego Marron, Jesse Read, Albert Bifet, Talel Abdessalem, Eduard Ayguadé, José R. Herrero 0001 |
Echo State Hoeffding Tree Learning. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Weizheng Chen, Xia Zhang, Jinpeng Wang 0001, Yan Zhang 0004, Hongfei Yan, Xiaoming Li 0001 |
Non-Linear Smoothed Transductive Network Embedding with Text Information. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Doyen Sahoo, Steven C. H. Hoi, Peilin Zhao |
Cost Sensitive Online Multiple Kernel Classification. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Stéphan Clémençon, Patrice Bertail, Guillaume Papa |
Learning from Survey Training Samples: Rate Bounds for Horvitz-Thompson Risk Minimizers. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Wei Gao 0008, Xin-Yi Niu, Zhi-Hua Zhou |
Learnability of Non-I.I.D. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Henry Gouk, Bernhard Pfahringer, Michael J. Cree |
Learning Distance Metrics for Multi-Label Classification. |
ACML |
2016 |
DBLP BibTeX RDF |
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1 | Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi |
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. |
ACML |
2016 |
DBLP BibTeX RDF |
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1 | Robert J. Durrant, Kee-Eung Kim (eds.) |
Proceedings of The 8th Asian Conference on Machine Learning, ACML 2016, Hamilton, New Zealand, November 16-18, 2016. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Christian Walder |
Modelling Symbolic Music: Beyond the Piano Roll. |
ACML |
2016 |
DBLP BibTeX RDF |
|
1 | Yiu-ming Cheung, Jian Lou 0001 |
Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Xiaowei Zhang 0002, Li Cheng 0001, Tingshao Zhu |
Robust Multivariate Regression with Grossly Corrupted Observations and Its Application to Personality Prediction. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Ozan Irsoy, Ethem Alpaydin |
Autoencoder Trees. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Ata Kabán |
A New Look at Nearest Neighbours: Identifying Benign Input Geometries via Random Projections. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Young-Jun Ko, Matthias W. Seeger |
Expectation Propagation for Rectified Linear Poisson Regression. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Le Shu, Longin Jan Latecki |
Integration of Single-view Graphs with Diffusion of Tensor Product Graphs for Multi-view Spectral Clustering. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Shaowu Liu, Gang Li 0009, Truyen Tran 0001, Yuan Jiang 0001 |
Preference Relation-based Markov Random Fields for Recommender Systems. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Inbal Horev, Florian Yger, Masashi Sugiyama |
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices. |
ACML |
2015 |
DBLP BibTeX RDF |
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1 | Shuang Zhou 0001, Gijs Schoenmakers, Evgueni N. Smirnov, Ralf Peeters, Kurt Driessens, Siqi Chen 0001 |
Largest Source Subset Selection for Instance Transfer. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Viet Huynh, Dinh Q. Phung, Svetha Venkatesh |
Streaming Variational Inference for Dirichlet Process Mixtures. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Liqiang Niu, Xin-Yu Dai, Shujian Huang, Jiajun Chen |
A Unified Framework for Jointly Learning Distributed Representations of Word and Attributes. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Hiroaki Sasaki, Voot Tangkaratt, Masashi Sugiyama |
Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Huanhuan Zhang, Jie Zhang 0002, Carol J. Fung, Chang Xu 0003 |
Improving Sybil Detection via Graph Pruning and Regularization Techniques. |
ACML |
2015 |
DBLP BibTeX RDF |
|
1 | Marthinus Christoffel du Plessis, Gang Niu 0001, Masashi Sugiyama |
Class-prior Estimation for Learning from Positive and Unlabeled Data. |
ACML |
2015 |
DBLP BibTeX RDF |
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1 | Adepu Ravi Sankar, Vineeth N. Balasubramanian |
Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models. |
ACML |
2015 |
DBLP BibTeX RDF |
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1 | Yue Zhu 0001, Wei Gao 0008, Zhi-Hua Zhou |
One-Pass Multi-View Learning. |
ACML |
2015 |
DBLP BibTeX RDF |
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1 | Tuan Duong Nguyen, Marthinus Christoffel du Plessis, Masashi Sugiyama |
Continuous Target Shift Adaptation in Supervised Learning. |
ACML |
2015 |
DBLP BibTeX RDF |
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1 | |
Proceedings of The 7th Asian Conference on Machine Learning, ACML 2015, Hong Kong, November 20-22, 2015. |
ACML |
2015 |
DBLP BibTeX RDF |
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