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Active Learning

323 directly classified papers

Papers per year

Papers

Subsequence Based Deep Active Learning for Named Entity Recognition ACL 2021
ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation 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
Sequential Graph Convolutional Network for Active Learning CVPR 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
Task-Aware Variational Adversarial Active Learning CVPR 2021
Active Learning by Acquiring Contrastive Examples EMNLP 2021
ActiveEA: Active Learning for Neural Entity Alignment EMNLP 2021
Cartography Active Learning EMNLP 2021
Active Learning for Rumor Identification on Social Media EMNLP 2021
Active Learning for Argument Strength Estimation EMNLP 2021
SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios NIPS 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training NIPS 2021
Iterative Teaching by Label Synthesis NIPS 2021
Online Active Learning with Surrogate Loss Functions NIPS 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NIPS 2021
The Active Sensing Testbed AAAI 2021
On Margin-Based Cluster Recovery with Oracle Queries NIPS 2021
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NIPS 2021
A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Learning in the Wild with Incremental Skeptical Gaussian Processes IJCAI 2020
Exact Recovery of Mangled Clusters with Same-Cluster Queries NIPS 2020
Exemplar Guided Active Learning NIPS 2020
Less Is Better: Unweighted Data Subsampling via Influence Function AAAI 2020
Online Active Learning of Reject Option Classifiers AAAI 2020