High Performance Convolution Using Sparsity and Patterns for Inference in Deep Convolutional Neural Networks. - Hossam Amer; Ahmed H. Salamah; Ahmad Sajedi; En-Hui Yang (CoRR, 2021)

On the Efficiency of Subclass Knowledge Distillation in Classification Tasks. - Ahmad Sajedi; Konstantinos N. Plataniotis (CoRR, 2021)

Subclass Knowledge Distillation with Known Subclass Labels. - Ahmad Sajedi; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (IVMSP, 2022)

A New Probabilistic Distance Metric with Application in Gaussian Mixture Reduction. - Ahmad Sajedi; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ICASSP, 2023)

DataDAM: Efficient Dataset Distillation with Attention Matching. - Ahmad Sajedi; Samir Khaki; Ehsan Amjadian; Lucy Z. Liu; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ICCV, 2023)

End-to-End Supervised Multilabel Contrastive Learning. - Ahmad Sajedi; Samir Khaki; Konstantinos N. Plataniotis; Mahdi S. Hosseini (CoRR, 2023)

ATOM: Attention Mixer for Efficient Dataset Distillation. - Samir Khaki; Ahmad Sajedi; Kai Wang 036; Lucy Z. Liu; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (CVPR Workshops, 2024)

GSTAM: Efficient Graph Distillation with Structural Attention-Matching. - Arash Rasti-Meymandi; Ahmad Sajedi; Zhaopan Xu; Konstantinos N. Plataniotis (ECCV Workshops (19), 2024)

Data-to-Model Distillation: Data-Efficient Learning Framework. - Ahmad Sajedi; Samir Khaki; Lucy Z. Liu; Ehsan Amjadian; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ECCV (43), 2024)

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification. - Ahmad Sajedi; Samir Khaki; Yuri A. Lawryshyn; Konstantinos N. Plataniotis (ICASSP, 2024)

Prioritize Alignment in Dataset Distillation. - Zekai Li; Ziyao Guo; Wangbo Zhao; Tianle Zhang; Zhi-Qi Cheng; Samir Khaki; Kaipeng Zhang; Ahmad Sajedi; Konstantinos N. Plataniotis; Kai Wang 036; Yang You 001 (CoRR, 2024)

Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. - Kai Wang 036; Zekai Li; Zhi-Qi Cheng; Samir Khaki; Ahmad Sajedi; Ramakrishna Vedantam; Konstantinos N. Plataniotis; Alexander Hauptmann 001; Yang You 001 (CVPR, 2025)

FedPnP: Personalized graph-structured federated learning. - Arash Rasti-Meymandi; Ahmad Sajedi; Konstantinos N. Plataniotis (Pattern Recognit., 2025)