Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Chepuri Shri Krishna"'
Publikováno v:
IEEE BigData
Reinforcement Learning has yielded promising results for Neural Architecture Search (NAS). In this paper, we demonstrate how its performance can be improved by using a simplified Transformer block to model the policy network. The simplified Transform
Autor:
Swarnim Narayan, Nitinbalaji Singh, Himanshu Rai, Abhinav Rai, Chepuri Shri Krishna, Gursirat Singh Sodhi, Ashish Gupta, Chandrakant Bharti, Varun Mishra
Publikováno v:
IEEE BigData
We present Ultron-AutoML, an open-source, distributed framework for efficient hyper-parameter optimization (HPO) of ML models. Considering that hyper-parameter optimization is compute intensive and time-consuming, the framework has been designed for