Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Movahedi, Sajad"'
In this paper, we propose the $\textit{geometric invariance hypothesis (GIH)}$, which argues that when training a neural network, the input space curvature remains invariant under transformation in certain directions determined by its architecture. S
Externí odkaz:
http://arxiv.org/abs/2410.12025
Autor:
Movahedi, Sajad, Shakery, Azadeh
While deep learning in the form of recurrent neural networks (RNNs) has caused a significant improvement in neural language modeling, the fact that they are extremely prone to overfitting is still a mainly unresolved issue. In this paper we propose a
Externí odkaz:
http://arxiv.org/abs/2211.09728
Autor:
Movahedi, Sajad, Adabinejad, Melika, Imani, Ayyoob, Keshavarz, Arezou, Dehghani, Mostafa, Shakery, Azadeh, Araabi, Babak N.
Differentiable neural architecture search (DARTS) is a popular method for neural architecture search (NAS), which performs cell-search and utilizes continuous relaxation to improve the search efficiency via gradient-based optimization. The main short
Externí odkaz:
http://arxiv.org/abs/2210.07998
NLP-IIS@UT at SemEval-2021 Task 4: Machine Reading Comprehension using the Long Document Transformer
This paper presents a technical report of our submission to the 4th task of SemEval-2021, titled: Reading Comprehension of Abstract Meaning. In this task, we want to predict the correct answer based on a question given a context. Usually, contexts ar
Externí odkaz:
http://arxiv.org/abs/2105.03775
The e-commerce has started a new trend in natural language processing through sentiment analysis of user-generated reviews. Different consumers have different concerns about various aspects of a specific product or service. Aspect category detection,
Externí odkaz:
http://arxiv.org/abs/1901.01183
Aspect category detection is one of the important and challenging subtasks of aspect-based sentiment analysis. Given a set of pre-defined categories, this task aims to detect categories which are indicated implicitly or explicitly in a given review s
Externí odkaz:
http://arxiv.org/abs/1812.03361
Autor:
Sadegh-Zadeh, Seyed-Ali, Dastmard, Arman, Montazeri Kafshgarkolaei, Leili, Movahedi, Sajad, Shiry Ghidary, Saeed, Najafi, Amirreza, Saadat, Mozafar
Publikováno v:
Infrastructures; Feb2023, Vol. 8 Issue 2, p21, 13p
Publikováno v:
Research in Medicine: Journal of Research in Medical Sciences; 2019, Vol. 43 Issue 4, p198-203, 6p
Autor:
Ruhani, Behrooz, Movahedi, Parsa, Saadi, Sajad, Ghasemi, Amir, Kheradmand, Amanj, Dibaj, Mahdieh, Akrami, Mohammad
Publikováno v:
Sustainability (2071-1050); Jan2022, Vol. 14 Issue 2, p1017-1017, 1p
This two-volume set LNCS 11437 and 11438 constitutes the refereed proceedings of the 41st European Conference on IR Research, ECIR 2019, held in Cologne, Germany, in April 2019. The 48 full papers presented together with 2 keynote papers, 44 short pa