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Active Learning

1,911 papers

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Papers

Active approximately metric-fair learning UAI 2022
A label efficient two-sample test UAI 2022
Partial likelihood Thompson sampling UAI 2022
Active learning with label comparisons UAI 2022
Asymptotic optimality for active learning processes UAI 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias WACV 2022
Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin? WACV 2022
Towards Active Vision for Action Localization With Reactive Control and Predictive Learning WACV 2022
Class-Balanced Active Learning for Image Classification WACV 2022
Identifying Wrongly Predicted Samples: A Method for Active Learning WACV 2022
Single Image Object Counting and Localizing Using Active-Learning WACV 2022
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images WACV 2022
Fuzzy Clustering with Similarity Queries NIPS 2021
On the Value of Interaction and Function Approximation in Imitation Learning NIPS 2021
Sample Complexity Bounds for Active Ranking from Multi-wise Comparisons NIPS 2021
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NIPS 2021
Fast Pure Exploration via Frank-Wolfe NIPS 2021
Conditioning Sparse Variational Gaussian Processes for Online Decision-making NIPS 2021
Meta-learning with an Adaptive Task Scheduler NIPS 2021
Neural Active Learning with Performance Guarantees NIPS 2021
Active clustering for labeling training data NIPS 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
Efficient Active Learning for Gaussian Process Classification by Error Reduction NIPS 2021
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules NIPS 2021
Batch Active Learning at Scale NIPS 2021