Zobrazeno 1 - 10
of 820
pro vyhledávání: '"Shoaib , Ahmed"'
Autor:
Siddiqui, Shoaib Ahmed, Kossaifi, Jean, Bonev, Boris, Choy, Christopher, Kautz, Jan, Krueger, David, Azizzadenesheli, Kamyar
Despite tremendous progress in developing deep-learning-based weather forecasting systems, their design space, including the impact of different design choices, is yet to be well understood. This paper aims to fill this knowledge gap by systematicall
Externí odkaz:
http://arxiv.org/abs/2410.07472
Recent works have successfully applied Large Language Models (LLMs) to function modeling tasks. However, the reasons behind this success remain unclear. In this work, we propose a new evaluation framework to comprehensively assess LLMs' function mode
Externí odkaz:
http://arxiv.org/abs/2410.04541
Autor:
Siddiqui, Shoaib Ahmed, Gaonkar, Radhika, Köpf, Boris, Krueger, David, Paverd, Andrew, Salem, Ahmed, Tople, Shruti, Wutschitz, Lukas, Xia, Menglin, Zanella-Béguelin, Santiago
Large Language Models (LLMs) are rapidly becoming commodity components of larger software systems. This poses natural security and privacy problems: poisoned data retrieved from one component can change the model's behavior and compromise the entire
Externí odkaz:
http://arxiv.org/abs/2410.03055
Current backdoor defense methods are evaluated against a single attack at a time. This is unrealistic, as powerful machine learning systems are trained on large datasets scraped from the internet, which may be attacked multiple times by one or more a
Externí odkaz:
http://arxiv.org/abs/2408.13221
Autor:
Siddiqui, Shoaib Ahmed, Dong, Xin, Heinrich, Greg, Breuel, Thomas, Kautz, Jan, Krueger, David, Molchanov, Pavlo
Large Language Models (LLMs) are not only resource-intensive to train but even more costly to deploy in production. Therefore, recent work has attempted to prune blocks of LLMs based on cheap proxies for estimating block importance, effectively remov
Externí odkaz:
http://arxiv.org/abs/2407.16286
Visual object recognition systems need to generalize from a set of 2D training views to novel views. The question of how the human visual system can generalize to novel views has been studied and modeled in psychology, computer vision, and neuroscien
Externí odkaz:
http://arxiv.org/abs/2304.09358
Autor:
Abdul Majeed Shaikh, Muhammad Fawad Shaikh, Shoaib Ahmed Shaikh, Madad Ali Shah, Abdul Aziz Memon
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 43, Iss 3, Pp 102-112 (2024)
Externí odkaz:
https://doaj.org/article/276d190fb2bd4e948da2d03ec754d2dc
Current state-of-the-art deep networks are all powered by backpropagation. In this paper, we explore alternatives to full backpropagation in the form of blockwise learning rules, leveraging the latest developments in self-supervised learning. We show
Externí odkaz:
http://arxiv.org/abs/2302.01647
Autor:
Tanjim Taharat Aurpa, Kazi Noshin Fariha, Kawser Hossain, Samiha Maisha Jeba, Md Shoaib Ahmed, Md. Rawnak Saif Adib, Farhana Islam, Farzana Akter
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39089- (2024)
Identifying mathematical equations from real-world math problems presents a unique and challenging task within the field of Natural Language Processing (NLP). It has a wide range of applications in various areas, such as academics, digital content de
Externí odkaz:
https://doaj.org/article/89a5f641ce074098b61ad070da6e61a4
Autor:
Xing Chen, Aijuan Zheng, Zhimin Chen, Shoaib Ahmed Pirzado, Zedong Wang, Jiang Chen, Zhiheng Zou, Guohua Liu
Publikováno v:
Poultry Science, Vol 103, Iss 10, Pp 104049- (2024)
ABSTRACT: Gut health of broiler chickens is essential for production performance. The present study aimed to evaluate the impact of dietary supplementation with potassium diformate (KDF) on growth performance and intestinal health in broiler chickens
Externí odkaz:
https://doaj.org/article/6767da5ea0c04d928c2fe3583136a977