Author

Iman Khazrak

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Open access Jul 2026

Adaptive gradient-norm weighting for improved domain adversarial training

Unsupervised domain adaptation (UDA) transfers knowledge from a labeled source domain to an unlabeled target domain by jointly optimizing source classification and domain-alignment objectives. A key practical challenge is selecting the trade-off coefficient λ\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackag...

Iman Khazrak, Mohammadhossein Homaei, Mostafa M. Rezaee et al. · International Journal of Dat... · 0 citations

#artificial intelligence Preprint Sep 2026

Understanding LoRA Rank Trade-offs in Diffusion Model Fine-Tuning

Selecting LoRA rank for diffusion fine-tuning requires balancing quality and compute cost. We present a controlled study on CIFAR-10 using a DDPM U-Net with ranks {2,4,8,16,32}, fixed optimization settings, and a reproducible local-folder pytorch-fid protocol. We report FID, trainable parameters, runtime, and GPU memor...

Iman Khazrak, N. Nejad, Mostafa M. Rezaee et al. · 0 citations