| Datadam: Efficient dataset distillation with attention matching A Sajedi, S Khaki, E Amjadian, LZ Liu, YA Lawryshyn, KN Plataniotis Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 57 | 2023 |
| End-to-end supervised multilabel contrastive learning A Sajedi, S Khaki, KN Plataniotis, MS Hosseini arXiv preprint arXiv:2307.03967, 2023 | 9 | 2023 |
| High performance convolution using sparsity and patterns for inference in deep convolutional neural networks H Amer, AH Salamah, A Sajedi, E Yang arXiv preprint arXiv:2104.08314, 2021 | 8 | 2021 |
| On the efficiency of subclass knowledge distillation in classification tasks A Sajedi, KN Plataniotis arXiv preprint arXiv:2109.05587, 2021 | 6 | 2021 |
| ATOM: Attention Mixer for Efficient Dataset Distillation S Khaki, A Sajedi, K Wang, LZ Liu, YA Lawryshyn, KN Plataniotis Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 4 | 2024 |
| Subclass knowledge distillation with known subclass labels A Sajedi, YA Lawryshyn, KN Plataniotis 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 4 | 2022 |
| Probmcl: Simple probabilistic contrastive learning for multi-label visual classification A Sajedi, S Khaki, YA Lawryshyn, KN Plataniotis ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
| A new probabilistic distance metric with application in gaussian mixture reduction A Sajedi, YA Lawryshyn, KN Plataniotis ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| Emphasizing discriminative features for dataset distillation in complex scenarios K Wang, Z Li, ZQ Cheng, S Khaki, A Sajedi, R Vedantam, KN Plataniotis, ... arXiv preprint arXiv:2410.17193, 2024 | 2 | 2024 |
| Prioritize Alignment in Dataset Distillation Z Li, Z Guo, W Zhao, T Zhang, ZQ Cheng, S Khaki, K Zhang, A Sajedi, ... arXiv preprint arXiv:2408.03360, 2024 | 2 | 2024 |
| GSTAM: Efficient Graph Distillation with Structural Attention-Matching A Rasti-Meymandi, A Sajedi, Z Xu, KN Plataniotis arXiv preprint arXiv:2408.16871, 2024 | 1 | 2024 |
| Data-to-Model Distillation: Data-Efficient Learning Framework A Sajedi, S Khaki, LZ Liu, E Amjadian, YA Lawryshyn, KN Plataniotis European Conference on Computer Vision, 438-457, 2024 | | 2024 |
| Exploring Data Distillation for efficient generation of Tabular Data S Khaki, A Sajedi, K Wang, L Liu, YA Lawryshyn, KN Plataniotis | | |
| FedPnP: A Plug and Play Approach For Personalized Graph-Structured Federated Learning A Rasti-Meymandi, A Sajedi, KN Plataniotis | | |
| and Konstantinos N. Plataniotis1 1University of Toronto 2Royal Bank of Canada (RBC) 3University of Waterloo A Sajedi, S Khaki, E Amjadian, LZ Liu, YA Lawryshyn | | |
| and Konstantinos N. Plataniotis1 1University of Toronto 2 National University of Singapore 3Royal Bank of Canada (RBC) S Khaki, A Sajedi, K Wang, LZ Liu, YA Lawryshyn | | |
Konstantinos N PlataniotisProfessor, ECE Department, University of TorontoZweryfikowany adres z ece.utoronto.ca