activity
20182026
most citedMemory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization

28 citations · 144 across the 32 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.LG2018★ 21 cited

DeepTwist: Learning Model Compression via Occasional Weight Distortion

Dongsoo Lee, Parichay Kapoor, Byeongwook Kim

Model compression has been introduced to reduce the required hardware resources while maintaining the model accuracy. Lots of techniques for model compression, such as pruning, qua…

cs.LG2018★ 12 cited

Retraining-Based Iterative Weight Quantization for Deep Neural Networks

Dongsoo Lee, Byeongwook Kim

Model compression has gained a lot of attention due to its ability to reduce hardware resource requirements significantly while maintaining accuracy of DNNs. Model compression is e…