Zobrazeno 1 - 10
of 8 896
pro vyhledávání: '"A. Kamboj"'
In order to unlock the potential of diverse sensors, we investigate a method to transfer knowledge between modalities using the structure of a unified multimodal representation space for Human Action Recognition (HAR). We formalize and explore an und
Externí odkaz:
http://arxiv.org/abs/2407.16803
Autor:
Gosal, Gurpreet, Xu, Yishi, Ramakrishnan, Gokul, Joshi, Rituraj, Sheinin, Avraham, Zhiming, Chen, Mishra, Biswajit, Vassilieva, Natalia, Hestness, Joel, Sengupta, Neha, Sahu, Sunil Kumar, Jia, Bokang, Pandit, Onkar, Katipomu, Satheesh, Kamboj, Samta, Ghosh, Samujjwal, Pal, Rahul, Mullah, Parvez, Doraiswamy, Soundar, Chami, Mohamed El Karim, Nakov, Preslav
We present an efficient method for adapting a monolingual Large Language Model (LLM) to another language, addressing challenges of catastrophic forgetting and tokenizer limitations. We focus this study on adapting Llama 2 to Arabic. Our two-stage app
Externí odkaz:
http://arxiv.org/abs/2407.12869
Autor:
Kamboj, Abhi
The transformer neural network architecture allows for autoregressive sequence-to-sequence modeling through the use of attention layers. It was originally created with the application of machine translation but has revolutionized natural language pro
Externí odkaz:
http://arxiv.org/abs/2406.16784
Robotic grasping presents a difficult motor task in real-world scenarios, constituting a major hurdle to the deployment of capable robots across various industries. Notably, the scarcity of data makes grasping particularly challenging for learned mod
Externí odkaz:
http://arxiv.org/abs/2406.11786
We explore the usage of large language models (LLM) in human-in-the-loop human-in-the-plant cyber-physical systems (CPS) to translate a high-level prompt into a personalized plan of actions, and subsequently convert that plan into a grounded inferenc
Externí odkaz:
http://arxiv.org/abs/2405.11458
Conventional approaches to enhancing movement coordination, such as providing instructions and visual feedback, are often inadequate in complex motor tasks with multiple degrees of freedom (DoFs). To effectively address coordination deficits in such
Externí odkaz:
http://arxiv.org/abs/2404.13258
Autor:
Kamboj, Abhi, Do, Minh
Despite living in a multi-sensory world, most AI models are limited to textual and visual understanding of human motion and behavior. In fact, full situational awareness of human motion could best be understood through a combination of sensors. In th
Externí odkaz:
http://arxiv.org/abs/2403.15444
We evaluated whether integration of expert guidance on seizure onset zone (SOZ) identification from resting state functional MRI (rs-fMRI) connectomics combined with deep learning (DL) techniques enhances the SOZ delineation in patients with refracto
Externí odkaz:
http://arxiv.org/abs/2312.09360
Non-linearities in simulation arise from the time variance in wireless mobile networks when integrated with human in the loop, human in the plant (HIL-HIP) physical systems under dynamic contexts, leading to simulation slowdown. Time variance is hand
Externí odkaz:
http://arxiv.org/abs/2309.06558
Publikováno v:
Indian Journal of Dental Sciences, Vol 16, Iss 3, Pp 140-143 (2024)
We present a case of a patient with Bernard–Soulier syndrome (BSS) who had his impacted third mandibular molar surgically extracted. An uncommon congenital bleeding condition called BSS is inherited in an autosomal recessive fashion. The syndrome,
Externí odkaz:
https://doaj.org/article/ad8904a5823a4a2fba4acc9b5494e570
