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Active Learning

1885 directly classified papers

Papers per year

Papers

Dual Active Learning for Both Model and Data Selection IJCAI 2021
Active Universal Domain Adaptation ICCV 2021
Asynchronous Active Learning with Distributed Label Querying IJCAI 2021
DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021
Actively Learning Concepts and Conjunctive Queries under ELr-Ontologies IJCAI 2021
Fast Pure Exploration via Frank-Wolfe NIPS 2021
Multiple Instance Active Learning for Object Detection CVPR 2021
Pragmatic Image Compression for Human-in-the-Loop Decision-Making NIPS 2021
Investigating label suggestions for opinion mining in German Covid-19 social media IJCNLP 2021
Collaborative Causal Discovery with Atomic Interventions NIPS 2021
Active Learning for Rumor Identification on Social Media EMNLP 2021
The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation SEMEVAL 2021
Active Learning by Acquiring Contrastive Examples EMNLP 2021
ActiveEA: Active Learning for Neural Entity Alignment EMNLP 2021
Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CORL 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021
Dueling Bandits with Team Comparisons NIPS 2021
Active multi-fidelity Bayesian online changepoint detection UAI 2021
Towards robust episodic meta-learning UAI 2021
Meta-Learning Effective Exploration Strategies for Contextual Bandits AAAI 2021
Fast active learning for pure exploration in reinforcement learning ICML 2021
Active Feature Acquisition with Generative Surrogate Models ICML 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CORL 2021