Quintin Fettes

According to our database, Quintin Fettes authored at least 5 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improving Model Factuality with Fine-grained Critique-based Evaluator.

Yiqing Xie, Wenxuan Zhou, Pradyot Prakash, Di Jin, Yuning Mao, Quintin Fettes, Arya Talebzadeh, Sinong Wang, Han Fang, Carolyn P. Rosé, Daniel Fried, Hejia Zhang

CoRR, 2024

2023

Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices.

Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney

CoRR, 2023

Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning.

Aditya Srinivas Timmaraju, Mehdi Mashayekhi, Mingliang Chen, Qi Zeng, Quintin Fettes, Wesley Cheung, Yihan Xiao, Manojkumar Rangasamy Kannadasan, Pushkar Tripathi, Sean Gahagan, Miranda Bogen, Rob Roudani

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2020

Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning.

Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri, Kyle Shiflett

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

2019

Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques.

Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri

IEEE Trans. Computers, 2019