1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Calibrated Uncertainty Sampling for Active Learning
Ha Manh Bui, Iliana Maifeld-Carucci, Anqi Liu
We study the problem of actively learning a classifier with a low calibration error. One of the most popular Acquisition Functions (AFs) in pool-based Active Learning (AL) is query…
cs.CV2022★ 1 cited
Benchmark for Uncertainty & Robustness in Self-Supervised Learning
Ha Manh Bui, Iliana Maifeld-Carucci
Self-Supervised Learning (SSL) is crucial for real-world applications, especially in data-hungry domains such as healthcare and self-driving cars. In addition to a lack of labeled…