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Active Learning

1885 directly classified papers

Papers per year

Papers

Confidence Weighted Multitask Learning AAAI 2019
Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019
Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem AAAI 2019
MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons AAAI 2019
Classification with Costly Features Using Deep Reinforcement Learning AAAI 2019
Preference Elicitation and Explanation in Iterative Planning IJCAI 2019
Multilingual Speech Recognition with Corpus Relatedness Sampling INTERSPEECH 2019
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant INTERSPEECH 2019
Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications AAAI 2019
InterSpot: Interactive Spammer Detection in Social Media IJCAI 2019
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers IJCNLP 2019
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts EMNLP 2019
Cascading Linear Submodular Bandits: Accounting for Position Bias and Diversity in Online Learning to Rank UAI 2019
Active Multi-Information Source Bayesian Quadrature UAI 2019
ASAC: Active Sensing using Actor-Critic models MLHC 2019
Active Learning for Deep Detection Neural Networks ICCV 2019
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019
Optimal Sampling and Clustering in the Stochastic Block Model NIPS 2019
LIDA: Lightweight Interactive Dialogue Annotator IJCNLP 2019
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019
A fully adaptive algorithm for pure exploration in linear bandits AISTATS 2018
New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018
Cost-Effective Active Learning for Hierarchical Multi-Label Classification IJCAI 2018
Request-and-Reverify: Hierarchical Hypothesis Testing for Concept Drift Detection with Expensive Labels IJCAI 2018