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Active Learning

1,911 papers

Papers per year

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Papers

Active Learning for Imbalanced Datasets WACV 2020
Color Composition Similarity and Its Application in Fine-grained Similarity WACV 2020
Adversarial Sampling for Active Learning WACV 2020
Flattening a Hierarchical Clustering through Active Learning NIPS 2019
Reliable training and estimation of variance networks NIPS 2019
The Label Complexity of Active Learning from Observational Data NIPS 2019
Teaching Multiple Concepts to a Forgetful Learner NIPS 2019
Mining GOLD Samples for Conditional GANs NIPS 2019
Combinatorial Bandits with Relative Feedback NIPS 2019
Sample Efficient Active Learning of Causal Trees NIPS 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
Optimal Decision Tree with Noisy Outcomes NIPS 2019
Same-Cluster Querying for Overlapping Clusters NIPS 2019
Non-Asymptotic Pure Exploration by Solving Games NIPS 2019
Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Learning Nearest Neighbor Graphs from Noisy Distance Samples NIPS 2019
Thresholding Bandit with Optimal Aggregate Regret NIPS 2019
MaxGap Bandit: Adaptive Algorithms for Approximate Ranking NIPS 2019
Phase Transitions and Cyclic Phenomena in Bandits with Switching Constraints NIPS 2019
Correlation Clustering with Adaptive Similarity Queries NIPS 2019
Deep Active Learning with a Neural Architecture Search NIPS 2019
Machine Teaching of Active Sequential Learners NIPS 2019
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019
Learning Deterministic Weighted Automata with Queries and Counterexamples NIPS 2019