Search Results - "Sidahmed, Hakim"

Discovering predictors of mental health service utilization with k-support regularized logistic regression by Sidahmed, Hakim, Prokofyeva, Elena, Blaschko, Matthew B.

“…Many epidemiological studies are undertaken with a use of large epidemiological databases, which involves the simultaneous evaluation of a large number of…”
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Faithful Persona-based Conversational Dataset Generation with Large Language Models by Jandaghi, Pegah, Sheng, XiangHai, Bai, Xinyi, Pujara, Jay, Sidahmed, Hakim

“…High-quality conversational datasets are essential for developing AI models that can communicate with users. One way to foster deeper interactions between a…”
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Unsupervised Anomaly Detection for Self-flying Delivery Drones by Sindhwani, Vikas, Sidahmed, Hakim, Choromanski, Krzysztof, Jones, Brandon

“…We propose a novel anomaly detection framework for a fleet of hybrid aerial vehicles executing high-speed package pickup and delivery missions. The detection…”
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Efficient and Private Federated Learning with Partially Trainable Networks by Sidahmed, Hakim, Xu, Zheng, Garg, Ankush, Cao, Yuan, Chen, Mingqing

“…Federated learning is used for decentralized training of machine learning models on a large number (millions) of edge mobile devices. It is challenging because…”
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Leveraging Large Language Models in Conversational Recommender Systems by Friedman, Luke, Ahuja, Sameer, Allen, David, Tan, Zhenning, Sidahmed, Hakim, Long, Changbo, Xie, Jun, Schubiner, Gabriel, Patel, Ajay, Lara, Harsh, Chu, Brian, Chen, Zexi, Tiwari, Manoj

“…A Conversational Recommender System (CRS) offers increased transparency and control to users by enabling them to engage with the system through a real-time…”
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Parameter Efficient Reinforcement Learning from Human Feedback by Sidahmed, Hakim, Phatale, Samrat, Hutcheson, Alex, Lin, Zhuonan, Chen, Zhang, Yu, Zac, Jin, Jarvis, Chaudhary, Simral, Komarytsia, Roman, Ahlheim, Christiane, Zhu, Yonghao, Li, Bowen, Ganesh, Saravanan, Byrne, Bill, Hoffmann, Jessica, Mansoor, Hassan, Li, Wei, Rastogi, Abhinav, Dixon, Lucas

“…While Reinforcement Learning from Human Feedback (RLHF) effectively aligns pretrained Large Language and Vision-Language Models (LLMs, and VLMs) with human…”
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Federated Reconstruction: Partially Local Federated Learning by Singhal, Karan, Sidahmed, Hakim, Garrett, Zachary, Wu, Shanshan, Rush, Keith, Prakash, Sushant

“…Personalization methods in federated learning aim to balance the benefits of federated and local training for data availability, communication cost, and…”
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