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Active Learning

1,911 papers

Papers per year

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20
39
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Papers

A General Framework for Robust Interactive Learning NIPS 2017
Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions NIPS 2017
Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces NIPS 2017
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NIPS 2017
Learning Active Learning from Data NIPS 2017
Adaptive Active Hypothesis Testing under Limited Information NIPS 2017
Active Learning from Peers NIPS 2017
Clustering with Noisy Queries NIPS 2017
Noise-Tolerant Interactive Learning Using Pairwise Comparisons NIPS 2017
Near-Optimal Edge Evaluation in Explicit Generalized Binomial Graphs NIPS 2017
Active Exploration for Learning Symbolic Representations NIPS 2017
Active Incremental Learning of Robot Movement Primitives CORL 2017
Opportunistic Active Learning for Grounding Natural Language Descriptions CORL 2017
Fastron: An Online Learning-Based Model and Active Learning Strategy for Proxy Collision Detection CORL 2017
Learning a Neural Semantic Parser from User Feedback ACL 2017
Detecting annotation noise in automatically labelled data ACL 2017
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback ACL 2017
Active Sentiment Domain Adaptation ACL 2017
Best-Worst Scaling More Reliable than Rating Scales: A Case Study on Sentiment Intensity Annotation ACL 2017
Self-Crowdsourcing Training for Relation Extraction ACL 2017
Tutorial: Making Better Use of the Crowd ACL 2017
Lower Bounds on Active Learning for Graphical Model Selection AISTATS 2017
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection AISTATS 2017
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017
Trading off Rewards and Errors in Multi-Armed Bandits AISTATS 2017