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Conference and Workshop Papers
- 2024
[c9]Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ATOM: Attention Mixer for Efficient Dataset Distillation. CVPR Workshops 2024: 7692-7702- [c8]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. ECCV (67) 2024: 108-127 - [c7]Ahmad Sajedi
, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
Data-to-Model Distillation: Data-Efficient Learning Framework. ECCV (43) 2024: 438-457 - [c6]Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-Label Visual Classification. ICASSP 2024: 5115-5119 - [c5]Samir Khaki, Konstantinos N. Plataniotis:
The Need for Speed: Pruning Transformers with One Recipe. ICLR 2024 - 2023
- [c4]Steve Mann, Jaden Bhimani, Samir Khaki, Calum Leaver-Preyra:
Smart paddleboard and other assistive veyances. CBS 2023: 298-305 - [c3]Samir Khaki, Weihan Luo:
CFDP: Common Frequency Domain Pruning. CVPR Workshops 2023: 4715-4724 - [c2]Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. ICCV 2023: 17051-17061 - 2021
- [c1]Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
CONetV2: Efficient Auto-Channel Size Optimization for CNNs. ICMLA 2021: 998-1003
Informal and Other Publications
- 2025
- [i14]Mengxuan Wu, Zekai Li, Zhiyuan Liang, Moyang Li, Xuanlei Zhao, Samir Khaki, Zheng Zhu, Xiaojiang Peng, Konstantinos N. Plataniotis, Kai Wang, Wangbo Zhao, Yang You:
Dynamic Vision Mamba. CoRR abs/2504.04787 (2025) - [i13]Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang:
DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR abs/2505.13300 (2025) - 2024
- [i12]Ahmad Sajedi, Samir Khaki, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ProbMCL: Simple Probabilistic Contrastive Learning for Multi-label Visual Classification. CoRR abs/2401.01448 (2024) - [i11]Samir Khaki, Konstantinos N. Plataniotis:
The Need for Speed: Pruning Transformers with One Recipe. CoRR abs/2403.17921 (2024) - [i10]Samir Khaki, Ahmad Sajedi, Kai Wang, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
ATOM: Attention Mixer for Efficient Dataset Distillation. CoRR abs/2405.01373 (2024) - [i9]Zhijian Liu, Zhuoyang Zhang, Samir Khaki, Shang Yang, Haotian Tang, Chenfeng Xu, Kurt Keutzer, Song Han:
Sparse Refinement for Efficient High-Resolution Semantic Segmentation. CoRR abs/2407.19014 (2024) - [i8]Zekai Li, Ziyao Guo, Wangbo Zhao, Tianle Zhang, Zhi-Qi Cheng, Samir Khaki, Kaipeng Zhang, Ahmad Sajedi, Konstantinos N. Plataniotis, Kai Wang, Yang You:
Prioritize Alignment in Dataset Distillation. CoRR abs/2408.03360 (2024) - [i7]Kai Wang, Zekai Li, Zhi-Qi Cheng, Samir Khaki, Ahmad Sajedi, Ramakrishna Vedantam, Konstantinos N. Plataniotis, Alex Hauptmann, Yang You:
Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. CoRR abs/2410.17193 (2024) - [i6]Ahmad Sajedi, Samir Khaki, Lucy Z. Liu, Ehsan Amjadian, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
Data-to-Model Distillation: Data-Efficient Learning Framework. CoRR abs/2411.12841 (2024) - 2023
- [i5]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:
Computational Pathology: A Survey Review and The Way Forward. CoRR abs/2304.05482 (2023) - [i4]Samir Khaki, Weihan Luo:
CFDP: Common Frequency Domain Pruning. CoRR abs/2306.04147 (2023) - [i3]Ahmad Sajedi, Samir Khaki, Konstantinos N. Plataniotis, Mahdi S. Hosseini:
End-to-End Supervised Multilabel Contrastive Learning. CoRR abs/2307.03967 (2023) - [i2]Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis:
DataDAM: Efficient Dataset Distillation with Attention Matching. CoRR abs/2310.00093 (2023) - 2021
- [i1]Yi Ru Wang, Samir Khaki, Weihang Zheng, Mahdi S. Hosseini, Konstantinos N. Plataniotis:
CONetV2: Efficient Auto-Channel Size Optimization for CNNs. CoRR abs/2110.06830 (2021)
Coauthor Index
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