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This workshop is prepared for ITRI
Title | Year | Source |
---|---|---|
Active Collaborative Filtering | 2003 | UAI |
A Bayesian Approach toward Active Learning for Collaborative Filtering | 2004 | UAI |
Active Collaborative Prediction with Maximum Margin Matrix Factorization | 2008 | ISAIM |
Personalized Active Learning for Collaborative Filtering | 2008 | SIGIR |
Active Learning for Aspect Model in Recommender Systems | 2011 | CIDM |
Active Learning in Recommender Systems | 2011 | Recommender System Handbook |
Non-myopic Active Learning for Recommender Systems Based on Matrix Factorization | 2011 | IRI |
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems | 2011 | ICTAI |
Active Learning for Online Bayesian Matrix Factorization | 2012 | KDD |
Active Learning and Search on Low-Rank Matrices | 2013 | KDD |
Active Matrix Completion | 2013 | ICDM |
Comparing Prediction Models for Active Learning in Recommender Systems | 2015 | LWA |
Matrix Completion with Queries | 2015 | KDD |
Multi-Domain Active Learning for Recommendation | 2016 | AAAI |
Title | Conference | Year |
---|---|---|
A New Active Labeling Method for Deep Learning | IJCNN | 2014 |
Active Learning for Hyperspectral Image Classification with a Stacked Autoencoders Based Neural Network | ICIP | 2016 |
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning | ICML | 2016 |
Deep Bayesian Active Learning with Image Data | ICML | 2017 |
Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally | CVPR | 2017 |
Active learning by learning | AAAI | 2015 |
Learning Active Learning from Data | NIPS | 2017 |
A Meta-Learning Approach to One-Step Active Learning | AutoML Workshop, ECML PKDD | 2017 |
Learning Algorithms for Active Learning | ICML | 2017 |
Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning | Rejected by ICLR | 2018 |