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Active Learning

75 papers

Papers per year

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Papers

Iterative Data Programming for Expanding Text Classification Corpora AAAI 2020
Active Imitation Learning with Noisy Guidance ACL 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation ACL 2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool COLING 2020
Annobot: Platform for Annotating and Creating Datasets through Conversation with a Chatbot COLING 2020
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation CVPR 2020
ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020
Textual Data Augmentation for Efficient Active Learning on Tiny Datasets EMNLP 2020
Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020
Sample Efficient Active Learning of Causal Trees NIPS 2019
Low-resource Deep Entity Resolution with Transfer and Active Learning ACL 2019
Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning ICML 2019
Including Uncertainty when Learning from Human Corrections CORL 2018
Visual Supervision in Bootstrapped Information Extraction EMNLP 2018
Active Exploration for Learning Symbolic Representations NIPS 2017
Online Graph Completion: Multivariate Signal Recovery in Computer Vision CVPR 2017
Image Segmentation in Twenty Questions CVPR 2015
Efficient Label Collection for Unlabeled Image Datasets CVPR 2015
Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NIPS 2014
Active Annotation Translation CVPR 2014
Adaptive Active Learning for Image Classification CVPR 2013
Active Learning of an Action Detector from Untrimmed Videos ICCV 2013
Bayesian Bias Mitigation for Crowdsourcing NIPS 2011
Video Annotation and Tracking with Active Learning NIPS 2011