Search Results for author: Mohammad Akbari

Found 32 papers, 12 papers with code

ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages

no code implementations26 Oct 2023 Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang

Despite the success of these multi-modal language models with different modalities, there is no existing solution for neural network architectures and natural languages.

AutoML Question Answering

EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction

1 code implementation29 Jul 2023 Mohammadali Sefidi Esfahani, Mohammad Akbari

Social platforms have emerged as crucial platforms for disseminating information and discussing real-life social events, offering researchers an excellent opportunity to design and implement novel event detection frameworks.

Event Detection Event Extraction

A Deep Learning-Based Approach for Cell Outage Compensation in NOMA Networks

no code implementations7 Apr 2022 Elaheh Vaezpour, Layla Majzoobi, Mohammad Akbari, Saeedeh Parsaeefard, Halim Yanikomeroglu

Cell outage compensation enables a network to react to a catastrophic cell failure quickly and serve users in the outage zone uninterruptedly.

Fairness Management

E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models

no code implementations ACL 2022 Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang

As such, it can be applied to black-box pre-trained models without a need for architectural manipulations, reassembling of modules, or re-training.

Decision Making Model Compression

Deep Learning meets Liveness Detection: Recent Advancements and Challenges

no code implementations29 Dec 2021 Arian Sabaghi, Marzieh Oghbaie, Kooshan Hashemifard, Mohammad Akbari

Hence, a new research area dealing with the development of more generalized as well as accurate models is increasingly attracting the attention of the research community and industry.

Face Anti-Spoofing Face Presentation Attack Detection

EBJR: Energy-Based Joint Reasoning for Adaptive Inference

1 code implementation20 Oct 2021 Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang

To this end, we propose an Energy-Based Joint Reasoning (EBJR) framework that adaptively distributes the samples between shallow and deep models to achieve an accuracy close to the deep model, but latency close to the shallow one.

Advances and Challenges in Deep Lip Reading

no code implementations15 Oct 2021 Marzieh Oghbaie, Arian Sabaghi, Kooshan Hashemifard, Mohammad Akbari

Driven by deep learning techniques and large-scale datasets, recent years have witnessed a paradigm shift in automatic lip reading.

Lip Reading speech-recognition +1

Bagging Supervised Autoencoder Classifier for Credit Scoring

no code implementations12 Aug 2021 Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi

The obtained results from our experiments on the benchmark and real-life credit scoring datasets illustrate the robustness and effectiveness of the Bagging Supervised Autoencoder Classifier in the classification of loan applicants that can be regarded as a positive development in credit scoring models.

Decision Making Management +1

Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning

no code implementations10 May 2021 Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda, Mohsen Pourghasemian, Nader Mokari, Melike Erol-Kantarci

In this paper, we first utilize single agent low-complex compound action actor-critic RL to cover both discrete and continuous actions and jointly minimize VNF cost and AoI in terms of network resources under end-to end Quality of Service constraints.

reinforcement-learning Reinforcement Learning (RL) +1

A Compact Deep Learning Model for Face Spoofing Detection

no code implementations12 Jan 2021 Seyedkooshan Hashemifard, Mohammad Akbari

Despite the results each of these techniques has achieved for a certain attack scenario or dataset, most of them still failed to generalized the problem for unseen conditions, as the efficiency of each is limited to certain type of presentation attacks and instruments (PAI).

Dynamic Ensemble Learning for Credit Scoring: A Comparative Study

1 code implementation18 Oct 2020 Mahsan Abdoli, Mohammad Akbari, Jamal Shahrabi

Automatic credit scoring, which assesses the probability of default by loan applicants, plays a vital role in peer-to-peer lending platforms to reduce the risk of lenders.

Ensemble Learning

DRL-Based QoS-Aware Resource Allocation Scheme for Coexistence of Licensed and Unlicensed Users in LTE and Beyond

no code implementations16 Aug 2020 Mahdi Nouri Boroujerdi, Mohammad Akbari, Roghayeh Joda, Mohammad Ali Maddah-Ali, Babak Hossein Khalaj

In this paper, we employ deep reinforcement learning to develop a novel radio resource allocation and packet scheduling scheme for different Quality of Service (QoS) requirements applicable to LTEadvanced and 5G networks.

reinforcement-learning Reinforcement Learning (RL) +1

Riccati updates for online linear quadratic control

no code implementations L4DC 2020 Mohammad Akbari, Bahman Gharesifard, Tamas Linder

We study an online setting of the linear quadratic Gaussian optimal control problem on a sequence of cost functions, where similar to classical online optimization, the future decisions are made by only knowing the cost in hindsight.

Deep Learning-based Image Compression with Trellis Coded Quantization

no code implementations26 Jan 2020 Binglin Li, Mohammad Akbari, Jie Liang, Yang Wang

Recently many works attempt to develop image compression models based on deep learning architectures, where the uniform scalar quantizer (SQ) is commonly applied to the feature maps between the encoder and decoder.

Decoder Image Compression +1

Learned Variable-Rate Image Compression with Residual Divisive Normalization

no code implementations11 Dec 2019 Mohammad Akbari, Jie Liang, Jingning Han, Chengjie Tu

Recently it has been shown that deep learning-based image compression has shown the potential to outperform traditional codecs.

Decoder Image Compression +1

MarlRank: Multi-agent Reinforced Learning to Rank

no code implementations15 Sep 2019 Shihao Zou, Zhonghua Li, Mohammad Akbari, Jun Wang, Peng Zhang

By defining reward as a function of NDCG, we can optimize our model directly on the ranking performance measure.

Document Ranking Learning-To-Rank

Using Contextual Information to Improve Blood Glucose Prediction

no code implementations24 Aug 2019 Mohammad Akbari, Rumi Chunara

Person-generated data sources, such as actively contributed surveys as well as passively mined data from social media offer opportunity to capture such context, however the self-reported nature and sparsity of such data mean that such data are noisier and less specific than physiological measures such as blood glucose values themselves.

Gaussian Processes Management +1

Detecting Target-Area Link-Flooding DDoS Attacks using Traffic Analysis and Supervised Learning

no code implementations1 Mar 2019 Mostafa Rezazad, Matthias R. Brust, Mohammad Akbari, Pascal Bouvry, Ngai-Man Cheung

A novel class of extreme link-flooding DDoS (Distributed Denial of Service) attacks is designed to cut off entire geographical areas such as cities and even countries from the Internet by simultaneously targeting a selected set of network links.

BIG-bench Machine Learning

From the User to the Medium: Neural Profiling Across Web Communities

no code implementations3 Dec 2018 Mohammad Akbari, Kunal Relia, Anas Elghafari, Rumi Chunara

Online communities provide a unique way for individuals to access information from those in similar circumstances, which can be critical for health conditions that require daily and personalized management.

Clustering Community Detection +1

DSSLIC: Deep Semantic Segmentation-based Layered Image Compression

2 code implementations8 Jun 2018 Mohammad Akbari, Jie Liang, Jingning Han

A compact representation of the input image is also generated and encoded as the first enhancement layer.

Image Compression Image Retrieval +4

Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation

1 code implementation1 Jun 2018 Mohammad Akbari, Jie Liang

A semi-recurrent hybrid VAE-GAN model for generating sequential data is introduced.

Music Generation

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