Papers
Learning deep structured network for weakly supervised change detection
Salman Khan, Xuming He, Fatih Porikli et al.
Bernoulli Rank-1 Bandits for Click Feedback
Sumeet Katariya, Branislav Kveton, Csaba Szepesvári et al.
Modelling the Working Week for Multi-Step Forecasting using Gaussian Process Regression
Pasan Karunaratne, Masud Moshtaghi, Shanika Karunasekera et al.
A Functional Dynamic Boltzmann Machine
Hiroshi Kajino
Confusion Graph: Detecting Confusion Communities in Large Scale Image Classification
Ruochun Jin, Yong Dou, Yueqing Wang et al.
Improving Classification Accuracy of Feedforward Neural Networks for Spiking Neuromorphic Chips
Antonio Jimeno Yepes, Jianbin Tang, Benjamin Scott Mashford
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering
Zhuxi Jiang, Yin Zheng, Huachun Tan et al.
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning
Wenhao Jiang, Cheng Deng, Wei Liu et al.
Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models
Nan Jiang, Wenge Rong, Min Gao et al.
Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks
He Jiang, Yangqiu Song, Chenguang Wang et al.
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning
Songlei Jian, Longbing Cao, Guansong Pang et al.
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training
Yusuke Iwasawa, Kotaro Nakayama, Ikuko Yairi et al.
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
Yasutoshi Ida, Yasuhiro Fujiwara, Sotetsu Iwamura
Ordinal Zero-Shot Learning
Zengwei Huo, Xin Geng
Incremental Matrix Factorization: A Linear Feature Transformation Perspective
Xunpeng Huang, Le Wu, Enhong Chen et al.
Cross-modal Common Representation Learning by Hybrid Transfer Network
Xin Huang, Yuxin Peng, Mingkuan Yuan
Multi-instance multi-label active learning
Sheng-Jun Huang, Nengneng Gao, Songcan Chen
Cost-Effective Active Learning from Diverse Labelers
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu et al.
Mention Recommendation for Twitter with End-to-end Memory Network
Haoran Huang, Qi Zhang, Xuanjing Huang
Semi-supervised Max-margin Topic Model with Manifold Posterior Regularization
Wenbo Hu, Jun Zhu, Hang Su et al.
Diversifying Personalized Recommendation with User-session Context
Liang Hu, Longbing Cao, Shoujin Wang et al.
Fast Recursive Low-rank Tensor Learning for Regression
Ming Hou, Brahim Chaib-draa
Storage Fit Learning with Unlabeled Data
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking
Jing He, Xin Li, Lejian Liao