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Active Learning

1,911 papers

Papers per year

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Papers

Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021
Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021
Online A-Optimal Design and Active Linear Regression ICML 2021
Active Learning for Distributionally Robust Level-Set Estimation ICML 2021
Active Covering ICML 2021
Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning ICML 2021
Active Testing: Sample-Efficient Model Evaluation ICML 2021
Active Feature Acquisition with Generative Surrogate Models ICML 2021
Active Learning of Continuous-time Bayesian Networks through Interventions ICML 2021
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ICML 2021
Fast active learning for pure exploration in reinforcement learning ICML 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021
Interactive Learning from Activity Description ICML 2021
Nonmyopic Multifidelity Acitve Search ICML 2021
Budgeted Heterogeneous Treatment Effect Estimation ICML 2021
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise ICML 2021
Active Deep Probabilistic Subsampling ICML 2021
Interaction Considerations in Learning from Humans IJCAI 2021
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies IJCAI 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021
Optimal Algorithms for Range Searching over Multi-Armed Bandits IJCAI 2021
Convexified Graph Neural Networks for Distributed Control in Robotic Swarms IJCAI 2021
Asynchronous Active Learning with Distributed Label Querying IJCAI 2021