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2020 – today
- 2024
[i3]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:
Improving Model Factuality with Fine-grained Critique-based Evaluator. CoRR abs/2410.18359 (2024)- 2023
- [c1]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:
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. KDD 2023: 4937-4947 - [i2]Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Brandon Beckwith, Sreenivas Subramoney:
Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices. CoRR abs/2304.07941 (2023) - [i1]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:
Towards Fairness in Personalized Ads Using Impression Variance Aware Reinforcement Learning. CoRR abs/2306.03293 (2023) - 2020
- [j3]Quintin Fettes, Avinash Karanth, Razvan C. Bunescu, Ahmed Louri, Kyle Shiflett:
Hardware-Level Thread Migration to Reduce On-Chip Data Movement Via Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(11): 3638-3649 (2020)
2010 – 2019
- 2019
- [j2]Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri:
Dynamic Voltage and Frequency Scaling in NoCs With Supervised and Reinforcement Learning Techniques. Computer 52(9): 4-5 (2019) - [j1]Quintin Fettes, Mark Clark, Razvan C. Bunescu, Avinash Karanth, Ahmed Louri:
Dynamic Voltage and Frequency Scaling in NoCs with Supervised and Reinforcement Learning Techniques. IEEE Trans. Computers 68(3): 375-389 (2019)
Coauthor Index
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