Samir Khaki

According to our database, Samir Khaki authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios.

Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You

CoRR, 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, Yang You

CoRR, 2024

The Need for Speed: Pruning Transformers with One Recipe.

Samir Khaki, Konstantinos N. Plataniotis

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification.

Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the IEEE International Conference on Acoustics, 2024

Data-to-Model Distillation: Data-Efficient Learning Framework.

Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the Computer Vision - ECCV 2024, 2024

Sparse Refinement for Efficient High-Resolution Semantic Segmentation.

Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han

Proceedings of the Computer Vision - ECCV 2024, 2024

ATOM: Attention Mixer for Efficient Dataset Distillation.

Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

End-to-End Supervised Multilabel Contrastive Learning.

Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini

CoRR, 2023

Computational Pathology: A Survey Review and The Way Forward.

Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh, Danial Hasan, Xingwen Li, Taehyo Kim, Haochen Zhang, Theodore Wu, Kajanan Chinniah, Sina Maghsoudlou, Ryan Zhang, Stephen Yang, Jiadai Zhu, Lyndon Chan, Samir Khaki, Andrei Buin, Fatemeh Chaji, Ala Salehi, Alejandra Zambrano Luna, Bich Ngoc Nguyen, Dimitris Samaras, Konstantinos N. Plataniotis

CoRR, 2023

DataDAM: Efficient Dataset Distillation with Attention Matching.

Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CFDP: Common Frequency Domain Pruning.

Samir Khaki, Weihan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Smart paddleboard and other assistive veyances.

Steve Mann, Jaden Bhimani, Samir Khaki, Calum Leaver-Preyra

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

2021

CONetV2: Efficient Auto-Channel Size Optimization for CNNs.

Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021