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Active Learning

1,911 papers

Papers per year

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Papers

ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation ACL 2021
Active Curriculum Learning ACL 2021
Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks ACL 2021
Multi-accent Speech Separation with One Shot Learning ACL 2021
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation ACL 2021
QActor: Active Learning on Noisy Labels ACML 2021
Hierarchical Semantic Segmentation using Psychometric Learning ACML 2021
Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox ACML 2021
Online Active Model Selection for Pre-trained Classifiers AISTATS 2021
Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021
Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning AISTATS 2021
On Data Efficiency of Meta-learning AISTATS 2021
Feedback Coding for Active Learning AISTATS 2021
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms AISTATS 2021
Gradient Descent in RKHS with Importance Labeling AISTATS 2021
Active Online Learning with Hidden Shifting Domains AISTATS 2021
Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021
Sample Elicitation AISTATS 2021
Training a Single Bandit Arm AISTATS 2021
Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021
Kernel Interpolation for Scalable Online Gaussian Processes AISTATS 2021
Active Learning under Label Shift AISTATS 2021
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits AISTATS 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021