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Active Learning

1885 directly classified papers

Papers per year

Papers

Efficient nonmyopic batch active search NIPS 2018
Learning to Actively Learn Neural Machine Translation CONLL 2018
Active Learning for Interactive Neural Machine Translation of Data Streams CONLL 2018
Discovering Interpretable Representations for Both Deep Generative and Discriminative Models ICML 2018
On the Relationship between Data Efficiency and Error for Uncertainty Sampling ICML 2018
Learning from Chunk-based Feedback in Neural Machine Translation ACL 2018
Learning by Asking Questions CVPR 2018
DialSQL: Dialogue Based Structured Query Generation ACL 2018
Efficient Online Scalar Annotation with Bounded Support ACL 2018
Active Nearest-Neighbor Learning in Metric Spaces JMLR 2018
FrameIt: Ontology Discovery for Noisy User-Generated Text EMNLP 2018
Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task EMNLP 2018
APLenty: annotation tool for creating high-quality datasets using active and proactive learning EMNLP 2018
Visual Supervision in Bootstrapped Information Extraction EMNLP 2018
Using active learning to expand training data for implicit discourse relation recognition EMNLP 2018
Active Learning with Logged Data ICML 2018
Derivative Free Optimization Via Repeated Classification AISTATS 2018
Multi-objective Contextual Bandit Problem with Similarity Information AISTATS 2018
Teacher Improves Learning by Selecting a Training Subset AISTATS 2018
Combining Human and Machine Transcriptions on the Zooniverse Platform EMNLP 2018
Uncertainty Sampling is Preconditioned Stochastic Gradient Descent on Zero-One Loss NIPS 2018
Mitigating Bias in Adaptive Data Gathering via Differential Privacy ICML 2018
Active Testing: An Efficient and Robust Framework for Estimating Accuracy ICML 2018
Active Learning for Accurate Estimation of Linear Models ICML 2017
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces NIPS 2017