Ardakani, Arash, Haan, Altan, Tan, Shangyin, Popovici, Doru Thom, Cheung, Alvin, Iancu, Costin, and Sen, Koushik. SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. Retrieved from https://par.nsf.gov/biblio/10575728. Web. doi:10.18653/v1/2024.naacl-long.345.

Ardakani, Arash, Haan, Altan, Tan, Shangyin, Popovici, Doru Thom, Cheung, Alvin, Iancu, Costin, & Sen, Koushik. SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics. Retrieved from https://par.nsf.gov/biblio/10575728. https://doi.org/10.18653/v1/2024.naacl-long.345

Ardakani, Arash, Haan, Altan, Tan, Shangyin, Popovici, Doru Thom, Cheung, Alvin, Iancu, Costin, and Sen, Koushik. "SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics". Country unknown/Code not available: Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.naacl-long.345. https://par.nsf.gov/biblio/10575728.

@article{osti_10575728,
place = {Country unknown/Code not available}, title = {SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics}, url = {https://par.nsf.gov/biblio/10575728}, DOI = {10.18653/v1/2024.naacl-long.345}, abstractNote = {}, journal = {}, publisher = {Association for Computational Linguistics}, author = {Ardakani, Arash and Haan, Altan and Tan, Shangyin and Popovici, Doru Thom and Cheung, Alvin and Iancu, Costin and Sen, Koushik}, }