13 citations · 18 across the 6 of their papers we have counts for
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cs.LG2026
-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource
Yufeng Wang, Parivesh Priye, Meeshawn Marathe +1
Reinforcement learning is increasingly used to align image generators with reward signals, and Flow-GRPO recently extended this paradigm to flow-matching models by treating the den…
cs.LG2022★ 2 cited
Model Blending for Text Classification
Ramit Pahwa
Deep neural networks (DNNs) have proven successful in a wide variety of applications such as speech recognition and synthesis, computer vision, machine translation, and game playin…
cs.LG2019★ 3 cited
Data-Driven Compression of Convolutional Neural Networks
Ramit Pahwa, Manoj Ghuhan Arivazhagan, Ankur Garg +3
Deploying trained convolutional neural networks (CNNs) to mobile devices is a challenging task because of the simultaneous requirements of the deployed model to be fast, lightweigh…