Differences

This shows you the differences between two versions of the page.

--- active_matrix_completion_workshop [2018/03/26 14:41]
setsuna
+++ active_matrix_completion_workshop [2018/04/25 09:53] (current)
sdlin
@@ Line 2: / Line 2: @@
 This workshop is prepared for ITRI
-===== Date & Location =====
+===== Tutorial =====
-  * Date:
+  * Deep Active Learning:
+     *Date: 4/25
-  * Location:
+     *slides: {{:deep_active_learning.pptx|}}
 ===== Agenda =====
 ===== Active Matrix Completion =====
-^Title^Year^Source^Code^
+^Title^Year^Source^
-|Active Collaborative Filtering|2003|UAI| |
+|Active Collaborative Filtering|2003|UAI|
-|A Bayesian Approach toward Active Learning for Collaborative Filtering|2004|UAI| |
+|A Bayesian Approach toward Active Learning for Collaborative Filtering|2004|UAI|
-|Active Collaborative Prediction with Maximum Margin Matrix Factorization|2008|ISAIM||
+|Active Collaborative Prediction with Maximum Margin Matrix Factorization|2008|ISAIM|
-|Personalized Active Learning for Collaborative Filtering|2008|SIGIR||
+|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|
+===== Deep Active Learning =====
+^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|

mslab

User Tools

Site Tools

Differences

Page Tools