66 citations · 79 across the 3 of their papers we have counts for
3 papers
cs.CV2025
SliceFine: The Universal Winning-Slice Hypothesis for Pretrained Networks
Md Kowsher, Ali O. Polat, Ehsan Mohammady Ardehaly +4
This paper presents a theoretical framework explaining why fine tuning small, randomly selected subnetworks (slices) within pre trained models can be sufficient for downstream adap…
cs.CV2017★ 66 cited
Co-training for Demographic Classification Using Deep Learning from Label Proportions
Ehsan Mohammady Ardehaly, Aron Culotta
Deep learning algorithms have recently produced state-of-the-art accuracy in many classification tasks, but this success is typically dependent on access to many annotated training…
cs.SI2017★ 13 cited
Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions
Ehsan Mohammady Ardehaly, Aron Culotta
Opinion mining and demographic attribute inference have many applications in social science. In this paper, we propose models to infer daily joint probabilities of multiple latent…