Hakim Sidahmed

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 9

Top Topics

Unsupervised Anomaly Detection

Top Venues

Publications

Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
Faithful Persona-based Conversational Dataset Generation with Large Language Models. ACL (Findings) (2024)
Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon
PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR (2024)
Luke Friedman, Sameer Ahuja, David Allen, Terry Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari
Leveraging Large Language Models in Conversational Recommender Systems. CoRR (2023)
Pegah Jandaghi, XiangHai Sheng, Xinyi Bai, Jay Pujara, Hakim Sidahmed
Faithful Persona-based Conversational Dataset Generation with Large Language Models. CoRR (2023)
Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, John Rush, Sushant Prakash
Federated Reconstruction: Partially Local Federated Learning. NeurIPS (2021)
Karan Singhal, Hakim Sidahmed, Zachary Garrett, Shanshan Wu, Keith Rush, Sushant Prakash
Federated Reconstruction: Partially Local Federated Learning. CoRR (2021)
Hakim Sidahmed, Zheng Xu, Ankush Garg, Yuan Cao, Mingqing Chen
Efficient and Private Federated Learning with Partially Trainable Networks. CoRR (2021)
Vikas Sindhwani, Hakim Sidahmed, Krzysztof Choromanski, Brandon Jones
Unsupervised Anomaly Detection for Self-flying Delivery Drones. ICRA (2020)
Hakim Sidahmed, Elena Prokofyeva, Matthew B. Blaschko
Discovering predictors of mental health service utilization with k-support regularized logistic regression. Inf. Sci. 329 (2016)