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cs.CL2024
Application Specific Compression of Deep Learning Models
Rohit Raj Rai, Angana Borah, Amit Awekar
Large Deep Learning models are compressed and deployed for specific applications. However, current Deep Learning model compression methods do not utilize the information about the…
cs.LG2024
Compressed models are NOT miniature versions of large models
Rohit Raj Rai, Rishant Pal, Amit Awekar
Large neural models are often compressed before deployment. Model compression is necessary for many practical reasons, such as inference latency, memory footprint, and energy consu…