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@@ -111,3 +111,21 @@ print("Predicted class index:", predicted_class)
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  ## Acknowledgments
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  We thank the TPU Research Cloud program for providing cloud TPUs that were used to build and train the models for our extensive experiments.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Acknowledgments
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  We thank the TPU Research Cloud program for providing cloud TPUs that were used to build and train the models for our extensive experiments.
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+ ## Citation
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+
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+ If you find our work helpful, feel free to give us a cite.
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+ ```bibtex
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+ @article{TOULAOUI2026115151,
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+ title = {Efficient vision transformers via patch selective soft-masked attention and knowledge distillation},
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+ journal = {Applied Soft Computing},
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+ pages = {115151},
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+ year = {2026},
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+ issn = {1568-4946},
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+ doi = {https://doi.org/10.1016/j.asoc.2026.115151},
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+ url = {https://www.sciencedirect.com/science/article/pii/S1568494626005995},
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+ author = {Abdelfattah Toulaoui and Hamza Khalfi and Imad Hafidi},
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+ keywords = {Vision transformer, Patch selection, Soft masking, Efficient inference}
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+ }
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+ ```