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Active Learning

323 directly classified papers

Papers per year

Papers

Interactive Construction of User-Centric Dictionary for Text Analytics ACL 2020
Optimal Decision Tree with Noisy Outcomes NIPS 2019
Same-Cluster Querying for Overlapping Clusters NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Correlation Clustering with Adaptive Similarity Queries NIPS 2019
Cost Effective Active Search NIPS 2019
A New Perspective on Pool-Based Active Classification and False-Discovery Control NIPS 2019
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes CVPR 2019
Learning Loss for Active Learning CVPR 2019
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks AAAI 2019
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation EMNLP 2019
Sampling Bias in Deep Active Classification: An Empirical Study EMNLP 2019
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging ACL 2019
Learning How to Active Learn by Dreaming ACL 2019
Self-Regulated Interactive Sequence-to-Sequence Learning ACL 2019
Practical Obstacles to Deploying Active Learning EMNLP 2019
A PAC Framework for Aggregating Agents’ Judgments AAAI 2019
Human-in-the-Loop Feature Selection AAAI 2019
Active Sampling for Open-Set Classification without Initial Annotation AAAI 2019
Active Learning of Multi-Class Classification Models from Ordered Class Sets AAAI 2019
Academic Reader: An Interactive Question Answering System on Academic Literatures AAAI 2019
Active Learning for Cost-Sensitive Classification JMLR 2019
Bidirectional Active Learning with Gold-Instance-Based Human Training IJCAI 2019
Large-Scale Interactive Object Segmentation With Human Annotators CVPR 2019