Search Results for author: Mohammad Salameh

Found 22 papers, 0 papers with code

Towards Safe, Explainable, and Regulated Autonomous Driving

no code implementations20 Nov 2021 Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel

There has been growing interest in the development and deployment of autonomous vehicles on roads over the last few years, encouraged by the empirical successes of powerful artificial intelligence techniques (AI), especially in the applications of deep learning and reinforcement learning.

Autonomous Driving reinforcement-learning

L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning

no code implementations25 Sep 2021 Keith G. Mills, Fred X. Han, Mohammad Salameh, SEYED SAEED CHANGIZ REZAEI, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu

In this paper, we propose L$^{2}$NAS, which learns to intelligently optimize and update architecture hyperparameters via an actor neural network based on the distribution of high-performing architectures in the search history.

Hyperparameter Optimization Neural Architecture Search +1

Generative Adversarial Neural Architecture Search

no code implementations19 May 2021 SEYED SAEED CHANGIZ REZAEI, Fred X. Han, Di Niu, Mohammad Salameh, Keith Mills, Shuo Lian, Wei Lu, Shangling Jui

Despite the empirical success of neural architecture search (NAS) in deep learning applications, the optimality, reproducibility and cost of NAS schemes remain hard to assess.

Neural Architecture Search

Generative Adversarial Neural Architecture Search with Importance Sampling

no code implementations1 Jan 2021 SEYED SAEED CHANGIZ REZAEI, Fred X. Han, Di Niu, Mohammad Salameh, Keith G Mills, Shangling Jui

Despite the empirical success of neural architecture search (NAS) algorithms in deep learning applications, the optimality, reproducibility and cost of NAS schemes remain hard to be assessed.

Neural Architecture Search

Neural Architecture Search For Keyword Spotting

no code implementations1 Sep 2020 Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui

Deep neural networks have recently become a popular solution to keyword spotting systems, which enable the control of smart devices via voice.

 Ranked #1 on Keyword Spotting on Google Speech Commands (Google Speech Commands V1 6 metric)

Keyword Spotting Neural Architecture Search

ADIDA: Automatic Dialect Identification for Arabic

no code implementations NAACL 2019 Ossama Obeid, Mohammad Salameh, Houda Bouamor, Nizar Habash

This demo paper describes ADIDA, a web-based system for automatic dialect identification for Arabic text.

Dialect Identification

Fine-Grained Arabic Dialect Identification

no code implementations COLING 2018 Mohammad Salameh, Houda Bouamor, Nizar Habash

Previous work on the problem of Arabic Dialect Identification typically targeted coarse-grained five dialect classes plus Standard Arabic (6-way classification).

Classification Dialect Identification +3

SemEval-2018 Task 1: Affect in Tweets

no code implementations SEMEVAL 2018 Saif Mohammad, Felipe Bravo-Marquez, Mohammad Salameh, Svetlana Kiritchenko

We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet.

Classification Emotion Classification +1

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