active_matrix_completion_workshop
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active_matrix_completion_workshop [2018/03/30 19:04] setsuna |
active_matrix_completion_workshop [2018/04/25 09:53] (current) sdlin |
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| This workshop is prepared for ITRI | This workshop is prepared for ITRI | ||
| - | ===== Date & Location | + | ===== Tutorial |
| - | * Date: | + | |
| - | + | *Date: | |
| - | | + | |
| ===== Agenda ===== | ===== Agenda ===== | ||
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| |Active Learning and Search on Low-Rank Matrices|2013|KDD| | |Active Learning and Search on Low-Rank Matrices|2013|KDD| | ||
| |Active Matrix Completion|2013|ICDM| | |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| | ||
| ===== Deep Active Learning ===== | ===== Deep Active Learning ===== | ||
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| |Deep Bayesian Active Learning with Image Data| ICML| 2017| | |Deep Bayesian Active Learning with Image Data| ICML| 2017| | ||
| |Fine-tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally| CVPR| 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| | |A Meta-Learning Approach to One-Step Active Learning| AutoML Workshop, ECML PKDD| 2017| | ||
| |Learning Algorithms for Active Learning| ICML| 2017| | |Learning Algorithms for Active Learning| ICML| 2017| | ||
| |Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning| Rejected by ICLR| 2018| | |Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning| Rejected by ICLR| 2018| | ||
active_matrix_completion_workshop.1522407890.txt.gz · Last modified: 2018/03/30 19:04 by setsuna
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