Papers
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning
David Isele, Mohammad Rostami, Eric Eaton
Change Detection Using Directional Statistics
Tsuyoshi Idé, Dzung T. Phan, Jayant Kalagnanam
Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code
Xuan Huo, Ming Li, Zhi-Hua Zhou
Learning Stable Linear Dynamical Systems with the Weighted Least Square Method
Wenbing Huang, Lele Cao, Fuchun Sun et al.
Transfer Learning with Active Queries from Source Domain
Sheng-Jun Huang, Songcan Chen
Class-Wise Supervised Hashing with Label Embedding and Active Bits
Long-Kai Huang, Sinno Jialin Pan
Grounding Topic Models with Knowledge Bases
Zhiting Hu, Gang Luo, Mrinmaya Sachan et al.
Bayesian Reinforcement Learning with Behavioral Feedback
Teakgyu Hong, Jongmin Lee, Kee-Eung Kim et al.
Tight Policy Regret Bounds for Improving and Decaying Bandits
Hoda Heidari, Michael Kearns, Aaron Roth
Online Bayesian Max-Margin Subspace Multi-View Learning
Jia He, Changying Du, Fuzhen Zhuang et al.
Partially Supervised Graph Embedding for Positive Unlabelled Feature Selection
Yufei Han, Yun Shen
Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition
Tao Han, Hailong Sun, Yangqiu Song et al.
Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables
Nils Y. Hammerla, Shane Halloran, Thomas Plötz
Semi-Supervised Active Learning with Cross-Class Sample Transfer
Yuchen Guo, Guiguang Ding, Yue Gao et al.
Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Xiaoxiao Guo, Satinder Singh, Richard Lewis et al.
A Distributed and Scalable Machine Learning Approach for Big Data
Hongliang Guo, Jie Zhang
Incremental Truncated LSTD
Clement Gehring, Yangchen Pan, Martha White
Knowledge-Based Sequence Mining with ASP
Martin Gebser, Thomas Guyet, René Quiniou et al.
Constrained Local Latent Variable Discovery
Tian Gao, Qiang Ji
Semi-Data-Driven Network Coarsening
Li Gao, Jia Wu, Hong Yang et al.
A Robust Convex Formulation for Ensemble Clustering
Junning Gao, Makoto Yamada, Samuel Kaski et al.
DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks
Jie Fu, Hongyin Luo, Jiashi Feng et al.
Copula Mixed-Membership Stochastic Blockmodel
Xuhui Fan, Richard Yi Da Xu, Longbing Cao
Robust Domain Generalisation by Enforcing Distribution Invariance
Sarah M. Erfani, Mahsa Baktashmotlagh, Masud Moshtaghi et al.
Version Space Reduction Based on Ensembles of Dissimilar Balanced Perceptrons
Karen Braga Enes, Saulo Moraes Villela, Raul Fonseca Neto