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cs.LG2026
Alignment Adapter to Improve the Performance of Compressed Deep Learning Models
Rohit Raj Rai, Abhishek Dhaka, Amit Awekar
Compressed Deep Learning (DL) models are essential for deployment in resource-constrained environments. But their performance often lags behind their large-scale counterparts. To b…
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…