7 citations · 8 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 1 cited
Compute-Efficient Active Learning
Gábor Németh, Tamás Matuszka
Active learning, a powerful paradigm in machine learning, aims at reducing labeling costs by selecting the most informative samples from an unlabeled dataset. However, the traditio…
cs.CV2022★ 7 cited
aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception
Tamás Matuszka, Iván Barton, Ádám Butykai +11
Autonomous driving is a popular research area within the computer vision research community. Since autonomous vehicles are highly safety-critical, ensuring robustness is essential…