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Active Learning

1885 directly classified papers

Papers per year

Papers

Copeland Dueling Bandit Problem: Regret Lower Bound, Optimal Algorithm, and Computationally Efficient Algorithm ICML 2016
Fine-Grained Categorization and Dataset Bootstrapping Using Deep Metric Learning With Humans in the Loop CVPR 2016
e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem JMLR 2016
JCLAL: A Java Framework for Active Learning JMLR 2016
Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016
Budgeted stream-based active learning via adaptive submodular maximization NIPS 2016
Active Nearest-Neighbor Learning in Metric Spaces NIPS 2016
Active Learning with Oracle Epiphany NIPS 2016
Search Improves Label for Active Learning NIPS 2016
Active Learning from Imperfect Labelers NIPS 2016
Contextual Combinatorial Cascading Bandits ICML 2016
Online Stochastic Linear Optimization under One-bit Feedback ICML 2016
The Knowledge Gradient for Sequential Decision Making with Stochastic Binary Feedbacks ICML 2016
Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016
Anytime Exploration for Multi-armed Bandits using Confidence Information ICML 2016
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition CVPR 2016
The Solution Path Algorithm for Identity-Aware Multi-Object Tracking CVPR 2016
Detecting Repeating Objects Using Patch Correlation Analysis CVPR 2016
Active Image Segmentation Propagation CVPR 2016
Active Nearest Neighbors in Changing Environments ICML 2015
Cascading Bandits: Learning to Rank in the Cascade Model ICML 2015
Introducing Geometry in Active Learning for Image Segmentation ICCV 2015
Active Transfer Learning With Zero-Shot Priors: Reusing Past Datasets for Future Tasks ICCV 2015
An Active Search Strategy for Efficient Object Class Detection CVPR 2015
Submodularity in Data Subset Selection and Active Learning ICML 2015