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cs.LG2025
Norm-Q: Effective Compression Method for Hidden Markov Models in Neuro-Symbolic Applications
Hanyuan Gao, Xiaoxuan Yang
Hidden Markov models (HMM) are commonly used in generation tasks and have demonstrated strong capabilities in neuro-symbolic applications for the Markov property. These application…
cs.LG2021★ 1 cited
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong +1
With the recent demand of deploying neural network models on mobile and edge devices, it is desired to improve the model's generalizability on unseen testing data, as well as enhan…