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Active Learning

1885 directly classified papers

Papers per year

Papers

Training a Single Bandit Arm AISTATS 2021
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues ACL 2021
GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation MIDL 2021
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021
Active Learning for Argument Strength Estimation EMNLP 2021
Phrase-level Active Learning for Neural Machine Translation EMNLP 2021
Sequential Graph Convolutional Network for Active Learning CVPR 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets CVPR 2021
Task-Aware Variational Adversarial Active Learning CVPR 2021
Transferable Query Selection for Active Domain Adaptation CVPR 2021
Accelerating Ecological Sciences from Above: Spatial Contrastive Learning for Remote Sensing AAAI 2021
Dialog Policy Learning for Joint Clarification and Active Learning Queries AAAI 2021
High Dimensional Level Set Estimation with Bayesian Neural Network AAAI 2021
ACAT-G: An Interactive Learning Framework for Assisted Response Generation AAAI 2021
Disposable Linear Bandits for Online Recommendations AAAI 2021
Active Feature Selection for the Mutual Information Criterion AAAI 2021
VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning CVPR 2021
Gradient-Based Algorithms for Machine Teaching CVPR 2021
A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries AISTATS 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021
Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021
Active Learning under Label Shift AISTATS 2021
Collaborative Causal Discovery with Atomic Interventions NIPS 2021
Fast Pure Exploration via Frank-Wolfe NIPS 2021