Zobrazeno 1 - 7
of 7
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
