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cs.LG2024
Cross Domain Adaptation using Adversarial networks with Cyclic loss
Manpreet Kaur, Ankur Tomar, Srijan Mishra +1
Deep Learning methods are highly local and sensitive to the domain of data they are trained with. Even a slight deviation from the domain distribution affects prediction accuracy o…
cs.LG2023
R2 Loss: Range Restriction Loss for Model Compression and Quantization
Arnav Kundu, Chungkuk Yoo, Srijan Mishra +2
Model quantization and compression is widely used techniques to reduce usage of computing resource at inference time. While state-of-the-art works have been achieved reasonable acc…