Papers
Large-scale Online Kernel Learning with Random Feature Reparameterization
Tu Dinh Nguyen, Trung Le, Hung Bui et al.
Autonomous Task Sequencing for Customized Curriculum Design in Reinforcement Learning
Sanmit Narvekar, Jivko Sinapov, Peter Stone
Learning Feature Engineering for Classification
Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana et al.
Self-Paced Multitask Learning with Shared Knowledge
Keerthiram Murugesan, Jaime Carbonell
Thresholding Bandits with Augmented UCB
Subhojyoti Mukherjee, Naveen Kolar Purushothama, Nandan Sudarsanam et al.
Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer
Seungwhan Moon, Jaime Carbonell
Rescale-Invariant SVM for Binary Classification
Mojtaba Montazery, Nic Wilson
Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means
Mahesh Mohan, Claire Monteleoni
Logistic Markov Decision Processes
Martin Mladenov, Craig Boutilier, Dale Schuurmans et al.
Exemplar-centered Supervised Shallow Parametric Data Embedding
Martin Renqiang Min, Hongyu Guo, Dongjin Song
Count-Based Exploration in Feature Space for Reinforcement Learning
Jarryd Martin, Suraj Narayanan S., Tom Everitt et al.
Cross-Domain Recommendation: An Embedding and Mapping Approach
Tong Man, Huawei Shen, Xiaolong Jin et al.
WALKING WALKing walking: Action Recognition from Action Echoes
Qianli Ma, Lifeng Shen, Enhuan Chen et al.
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
Yong Luo, Yonggang Wen, Tongliang Liu et al.
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning
Yong Luo, Dacheng Tao, Yonggang Wen
Symmetric Non-negative Latent Factor Models for Undirected Large Networks
Xin Luo, Ming-Sheng Shang
Adaptive Semi-Supervised Learning with Discriminative Least Squares Regression
Minnan Luo, Lingling Zhang, Feiping Nie et al.
Tracking the Evolution of Customer Purchase Behavior Segmentation via a Fragmentation-Coagulation Process
Ling Luo, Bin Li, Irena Koprinska et al.
Image Matching via Loopy RNN
Donghao Luo, Bingbing Ni, Yichao Yan et al.
Sampling for Approximate Maximum Search in Factorized Tensor
Zhi Lu, Yang Hu, Bing Zeng
Dynamic Weighted Majority for Incremental Learning of Imbalanced Data Streams with Concept Drift
Yang Lu, Yiu-ming Cheung, Yuan Yan Tang
JM-Net and Cluster-SVM for Aerial Scene Classification
Xiaoqiang Lu, Yuan Yuan, Jie Fang
Learning User Dependencies for Recommendation
Yong Liu, Peilin Zhao, Xin Liu et al.
Deep Ordinal Regression Based on Data Relationship for Small Datasets
Yanzhu Liu, Adams Wai Kin Kong, Chi Keong Goh