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pro vyhledávání: '"Barua, Adrita"'
Autor:
Norouzi, Sanaz Saki, Barua, Adrita, Christou, Antrea, Gautam, Nikita, Eells, Andrew, Hitzler, Pascal, Shimizu, Cogan
Knowledge graphs (KGs) are increasingly utilized for data integration, representation, and visualization. While KG population is critical, it is often costly, especially when data must be extracted from unstructured text in natural language, which pr
Externí odkaz:
http://arxiv.org/abs/2411.01612
Autor:
Shimizu, Cogan, Stephe, Shirly, Barua, Adrita, Cai, Ling, Christou, Antrea, Currier, Kitty, Dalal, Abhilekha, Fisher, Colby K., Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Mahdavinejad, Mohammad Saeid, Mai, Gengchen, Rehberger, Dean, Schildhauer, Mark, Shi, Meilin, Norouzi, Sanaz Saki, Tian, Yuanyuan, Wang, Sizhe, Wang, Zhangyu, Zalewski, Joseph, Zhou, Lu, Zhu, Rui
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, cr
Externí odkaz:
http://arxiv.org/abs/2410.13948
Autor:
Dalal, Abhilekha, Rayan, Rushrukh, Barua, Adrita, Vasserman, Eugene Y., Sarker, Md Kamruzzaman, Hitzler, Pascal
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would help answer the question of what a deep learning system internally detects as relevant in the input, demystifying the other
Externí odkaz:
http://arxiv.org/abs/2404.13567
Publikováno v:
Neural-Symbolic Learning and Reasoning, NeSy 2024, Lecture Notes in Computer Science, vol. 14980, pp. 132-148, 2024
Explainable Artificial Intelligence (XAI) poses a significant challenge in providing transparent and understandable insights into complex AI models. Traditional post-hoc algorithms, while useful, often struggle to deliver interpretable explanations.
Externí odkaz:
http://arxiv.org/abs/2404.11875
We subject GPT-4 to a number of rigorous psychometric tests and analyze the results. We find that, compared to the average human, GPT-4 tends to show more honesty and humility, and less machiavellianism and narcissism. It sometimes exhibits ambivalen
Externí odkaz:
http://arxiv.org/abs/2402.01777
A major challenge in Explainable AI is in correctly interpreting activations of hidden neurons: accurate interpretations would provide insights into the question of what a deep learning system has internally detected as relevant on the input, demysti
Externí odkaz:
http://arxiv.org/abs/2308.03999
One of the current key challenges in Explainable AI is in correctly interpreting activations of hidden neurons. It seems evident that accurate interpretations thereof would provide insights into the question what a deep learning system has internally
Externí odkaz:
http://arxiv.org/abs/2301.09611
Publikováno v:
Open Conference Proceedings (OCP). 2024, Vol. 4, p77-84. 8p.
Publikováno v:
In Procedia Computer Science 2021 193:112-121