- Exploring Active 3D Object Detection from a Generalization Perspective [2023, ICLR]
- On Statistical Bias In Active Learning: How and When to Fix It [2021, ICLR]:
- Uncertainty-aware active learning for optimal Bayesian classifier [2021, ICLR]:
- Can Active Learning Preemptively Mitigate Fairness Issues [2021, ICLR-RAI]
- Reinforced active learning for image segmentation [2020, ICLR]:
- Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds [2020, ICLR]:
- Active learning with partial feedback [2019, ICLR]:
- Deep active learning for named entity recognition [2018, ICLR]:
- Active learning for convolutional neural networks: A core-set approach [2018, ICLR]: