Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Agarwal, Shubham"'
Accurate classification of weather conditions in images is essential for enhancing the performance of object detection and classification models under varying weather conditions. This paper presents a comprehensive study on classifying weather condit
Externí odkaz:
http://arxiv.org/abs/2409.00821
Electronic Health Records are large repositories of valuable clinical data, with a significant portion stored in unstructured text format. This textual data includes clinical events (e.g., disorders, symptoms, findings, medications and procedures) in
Externí odkaz:
http://arxiv.org/abs/2408.17181
Autor:
Rampuria, Yash, Boliya, Deep, Gupta, Shreyash, Iyengar, Gopalan, Rohilla, Ayush, Vyas, Mohak, Langde, Chaitanya, Chanda, Mehul Vijay, Matai, Ronak Gautam, Namitha, Kothapalli, Pawar, Ajinkya, Biswas, Bhaskar, Agarwal, Nakul, Khandelwal, Rajit, Kumar, Rohan, Agarwal, Shubham, Patel, Vishwam, Rathore, Abhimanyu Singh, Rahman, Amna, Mishra, Ayush, Tangri, Yash
This work presents the design and development of IIT Bombay Racing's Formula Student style autonomous racecar algorithm capable of running at the racing events of Formula Student-AI, held in the UK. The car employs a cutting-edge sensor suite of the
Externí odkaz:
http://arxiv.org/abs/2408.06113
Autor:
Eppalapally, Swetha, Dangi, Daksh, Bhat, Chaithra, Gupta, Ankita, Zhang, Ruiyi, Agarwal, Shubham, Bagga, Karishma, Yoon, Seunghyun, Lipka, Nedim, Rossi, Ryan A., Dernoncourt, Franck
Question-answering for domain-specific applications has recently attracted much interest due to the latest advancements in large language models (LLMs). However, accurately assessing the performance of these applications remains a challenge, mainly d
Externí odkaz:
http://arxiv.org/abs/2407.16073
Autor:
Kumar, Ishita, Viswanathan, Snigdha, Yerra, Sushrita, Salemi, Alireza, Rossi, Ryan A., Dernoncourt, Franck, Deilamsalehy, Hanieh, Chen, Xiang, Zhang, Ruiyi, Agarwal, Shubham, Lipka, Nedim, Van Nguyen, Chien, Nguyen, Thien Huu, Zamani, Hamed
Long-text generation is seemingly ubiquitous in real-world applications of large language models such as generating an email or writing a review. Despite the fundamental importance and prevalence of long-text generation in many practical applications
Externí odkaz:
http://arxiv.org/abs/2407.11016
Conducting literature reviews for scientific papers is essential for understanding research, its limitations, and building on existing work. It is a tedious task which makes an automatic literature review generator appealing. Unfortunately, many exis
Externí odkaz:
http://arxiv.org/abs/2402.01788
Autor:
Rodriguez, Juan A., Agarwal, Shubham, Laradji, Issam H., Rodriguez, Pau, Vazquez, David, Pal, Christopher, Pedersoli, Marco
Scalable Vector Graphics (SVGs) have become integral in modern image rendering applications due to their infinite scalability in resolution, versatile usability, and editing capabilities. SVGs are particularly popular in the fields of web development
Externí odkaz:
http://arxiv.org/abs/2312.11556
Autor:
Agarwal, Shubham, Mitra, Subrata, Chakraborty, Sarthak, Karanam, Srikrishna, Mukherjee, Koyel, Saini, Shiv
Text-to-image generation using diffusion models has seen explosive popularity owing to their ability in producing high quality images adhering to text prompts. However, production-grade diffusion model serving is a resource intensive task that not on
Externí odkaz:
http://arxiv.org/abs/2312.04429
Autor:
Agarwal, Shubham, Chakraborty, Sarthak, Garg, Shaddy, Bisht, Sumit, Jain, Chahat, Gonuguntla, Ashritha, Saini, Shiv
Cloud services are omnipresent and critical cloud service failure is a fact of life. In order to retain customers and prevent revenue loss, it is important to provide high reliability guarantees for these services. One way to do this is by predicting
Externí odkaz:
http://arxiv.org/abs/2309.17340
Autor:
Chakraborty, Sarthak, Agarwal, Shubham, Garg, Shaddy, Sethia, Abhimanyu, Pandey, Udit Narayan, Aggarwal, Videh, Saini, Shiv
Modern cloud services are prone to failures due to their complex architecture, making diagnosis a critical process. Site Reliability Engineers (SREs) spend hours leveraging multiple sources of data, including the alerts, error logs, and domain expert
Externí odkaz:
http://arxiv.org/abs/2309.07230