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Active Learning

1885 directly classified papers

Papers per year

Papers

Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection CVPR 2022
Interactive Multi-Class Tiny-Object Detection CVPR 2022
Simulating Bandit Learning from User Feedback for Extractive Question Answering ACL 2022
Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NIPS 2022
Multi-View Active Learning for Short Text Classification in User-Generated Data EMNLP 2022
Online Continual Adaptation with Active Self-Training AISTATS 2022
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons AISTATS 2022
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation AISTATS 2022
Active Learning with Neural Networks: Insights from Nonparametric Statistics NIPS 2022
PAC Top-$k$ Identification under SST in Limited Rounds AISTATS 2022
Nuances in Margin Conditions Determine Gains in Active Learning AISTATS 2022
Nearly Optimal Algorithms for Level Set Estimation AISTATS 2022
OLALA: Object-Level Active Learning for Efficient Document Layout Annotation EMNLP 2022
Chernoff Sampling for Active Testing and Extension to Active Regression AISTATS 2022
Multi-class classification in nonparametric active learning AISTATS 2022
Active Learning for Nonlinear System Identification with Guarantees JMLR 2022
Pareto Optimal Model Selection in Linear Bandits AISTATS 2022
IALE: Imitating Active Learner Ensembles JMLR 2022
Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022
Asynchronous Upper Confidence Bound Algorithms for Federated Linear Bandits AISTATS 2022
Safe Active Learning for Multi-Output Gaussian Processes AISTATS 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget NAACL 2022
GreaseVision: Rewriting the Rules of the Interface NAACL 2022