Ji, Jie, Li, Gen, Afghah, Fatemeh, Guo, Linke, Yuan, Xiaoyong, and Ma, Xiaolong. A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training. Retrieved from https://par.nsf.gov/biblio/10614842. Advances in neural information processing systems .

Ji, Jie, Li, Gen, Afghah, Fatemeh, Guo, Linke, Yuan, Xiaoyong, & Ma, Xiaolong. A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training. Advances in neural information processing systems, (). Retrieved from https://par.nsf.gov/biblio/10614842.

Ji, Jie, Li, Gen, Afghah, Fatemeh, Guo, Linke, Yuan, Xiaoyong, and Ma, Xiaolong. "A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training". Advances in neural information processing systems (). Country unknown/Code not available: Neural Information Processing Systems Foundation, Inc.. https://par.nsf.gov/biblio/10614842.

@article{osti_10614842,
place = {Country unknown/Code not available}, title = {A Single-Step, Sharpness-Aware Minimization is All You Need to Achieve Efficient and Accurate Sparse Training}, url = {https://par.nsf.gov/biblio/10614842}, abstractNote = {}, journal = {Advances in neural information processing systems}, publisher = {Neural Information Processing Systems Foundation, Inc.}, author = {Ji, Jie and Li, Gen and Afghah, Fatemeh and Guo, Linke and Yuan, Xiaoyong and Ma, Xiaolong}, }