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Active Learning

1,911 papers

Papers per year

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Papers

Empirical Evaluation of Active Learning Techniques for Neural MT EMNLP 2019
Interactive Evidence Detection: train state-of-the-art model out-of-domain or simple model interactively? EMNLP 2019
O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks ICCV 2019
Active Learning for Deep Detection Neural Networks ICCV 2019
Variational Adversarial Active Learning ICCV 2019
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019
Learning to Caption Images Through a Lifetime by Asking Questions ICCV 2019
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings ICML 2019
Conditioning by adaptive sampling for robust design ICML 2019
Active Embedding Search via Noisy Paired Comparisons ICML 2019
Dynamic Learning with Frequent New Product Launches: A Sequential Multinomial Logit Bandit Problem ICML 2019
Active Learning with Disagreement Graphs ICML 2019
Teaching a black-box learner ICML 2019
Learning and Data Selection in Big Datasets ICML 2019
Myopic Posterior Sampling for Adaptive Goal Oriented Design of Experiments ICML 2019
Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019
EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019
Self-Supervised Exploration via Disagreement ICML 2019
Model-Based Active Exploration ICML 2019
Active Learning for Decision-Making from Imbalanced Observational Data ICML 2019
Bayesian Generative Active Deep Learning ICML 2019
Human-in-the-loop Active Covariance Learning for Improving Prediction in Small Data Sets IJCAI 2019
Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019
Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression IJCAI 2019
Active Learning within Constrained Environments through Imitation of an Expert Questioner IJCAI 2019