Zobrazeno 1 - 10
of 2 456
pro vyhledávání: '"P. Bhavya"'
Autor:
Ling, Chen, Ghashami, Mina, Gao, Vianne, Torkamani, Ali, Vaulin, Ruslan, Mangam, Nivedita, Jain, Bhavya, Diwan, Farhan, SS, Malini, Cheng, Mingrui, Kumar, Shreya Tarur, Candelario, Felix
Security controls are mechanisms or policies designed for cloud based services to reduce risk, protect information, and ensure compliance with security regulations. The development of security controls is traditionally a labor-intensive and time-cons
Externí odkaz:
http://arxiv.org/abs/2411.04284
Understanding the training dynamics of transformers is important to explain the impressive capabilities behind large language models. In this work, we study the dynamics of training a shallow transformer on a task of recognizing co-occurrence of two
Externí odkaz:
http://arxiv.org/abs/2410.09605
Autor:
As, Yarden, Sukhija, Bhavya, Treven, Lenart, Sferrazza, Carmelo, Coros, Stelian, Krause, Andreas
Reinforcement learning (RL) is ubiquitous in the development of modern AI systems. However, state-of-the-art RL agents require extensive, and potentially unsafe, interactions with their environments to learn effectively. These limitations confine RL
Externí odkaz:
http://arxiv.org/abs/2410.09486
We study the discovery prospects of leptophilic dark matter (DM) in future lepton colliders by considering the light neutrinos to be of Dirac type. Adopting an effective field theory (EFT) approach, we write down dimension six operators connecting th
Externí odkaz:
http://arxiv.org/abs/2408.14548
The growth of weeds poses a significant challenge to agricultural productivity, necessitating efficient and accurate weed detection and management strategies. The combination of multispectral imaging and drone technology has emerged as a promising ap
Externí odkaz:
http://arxiv.org/abs/2408.06727
The Internet of Things (IoT) is a network of billions of interconnected, primarily low-end embedded devices. Despite large-scale deployment, studies have highlighted critical security concerns in IoT networks, many of which stem from firmware-related
Externí odkaz:
http://arxiv.org/abs/2408.05680
Speculative decoding has emerged as a widely adopted method to accelerate large language model inference without sacrificing the quality of the model outputs. While this technique has facilitated notable speed improvements by enabling parallel sequen
Externí odkaz:
http://arxiv.org/abs/2408.05636
Autor:
Zargarbashi, Fatemeh, Di Giuro, Fabrizio, Cheng, Jin, Kang, Dongho, Sukhija, Bhavya, Coros, Stelian
This work presents a meta-reinforcement learning approach to develop a universal locomotion control policy capable of zero-shot generalization across diverse quadrupedal platforms. The proposed method trains an RL agent equipped with a memory unit to
Externí odkaz:
http://arxiv.org/abs/2407.17502
Epilepsy is the most common, chronic, neurological disease worldwide and is typically accompanied by reoccurring seizures. Neuro implants can be used for effective treatment by suppressing an upcoming seizure upon detection. Due to the restricted siz
Externí odkaz:
http://arxiv.org/abs/2406.16948
Autor:
Zheng, Haizhong, Tsai, Elisa, Lu, Yifu, Sun, Jiachen, Bartoldson, Brian R., Kailkhura, Bhavya, Prakash, Atul
High-quality human-annotated data is crucial for modern deep learning pipelines, yet the human annotation process is both costly and time-consuming. Given a constrained human labeling budget, selecting an informative and representative data subset fo
Externí odkaz:
http://arxiv.org/abs/2406.04273