| Year | Title | Author | Publication | Code | Tasks | Notes | Datasets | Notions |
|---|---|---|---|---|---|---|---|---|
| 2021 | Active Learning for Distributionally Robust Level-Set Estimation | Inatsu et al. | ICML | - | distributionally robust | distributionally robust PTR , BNNs, None, PT+FT, Hard |
Synthetic dataset, Booth, Matyas, McCormick, Styblinski-Tang | theoretical guarantees on convergence and accuracy, |
| 2021 | Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning | Kim et al. | ICML | - | Stream |
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| 2021 | Active Learning of Continuous-time Bayesian Networks through Interventions | Linzner and Koeppl | ICML | - | Stream |
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| 2021 | Fast active learning for pure exploration in reinforcement learning | Menard et al. | ICML | - | pure exploration | RL award, DNNs, reinforcement learning, Tra, Hard |
Synthetic |