Mohammad Rostami

发表

Sequential Model Adaptation Using Domain Agnostic Internal Distributions

Mohammad Rostami, Aram Galstyan, A. Galstyan, 2020, 2007.00197.

Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay pdf

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, 2019, IJCAI.

Deep Transfer Learning for Few-Shot SAR Image Classification

Eric Eaton, Mohammad Rostami, S. Kolouri, 2019, Remote. Sens..

Compressed Sensing in the Presence of Side Information

Mohammad Rostami, 2012 .

BAYESIAN ANALYSIS OF GUMBEL MODEL BY USING SLICE SAMPLING ALGORITHEM FOR GOLD PRICE OF MALAYSIA

N. Ibrahim, M. Adam, Mohammad Rostami, 2013 .

Slice sampler algorithm for generalized Pareto distribution

N. Ibrahim, Mohammad Rostami, Mohd Bakri Adam Yahya, 2017 .

A novel technique to diagnose malaria using image processing

Mohammad Rostami, elahe neshat, Mohammad Rostami, 2019 .

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

Jesse Thomason, Mohammad Rostami, Tejas Srinivasan, 2022, ArXiv.

Increasing Model Generalizability for Unsupervised Domain Adaptation

Mohammad Rostami, 2022, ArXiv.

Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning

Bill Yuchen Lin, Xiang Ren, Mohammad Rostami, 2021, EMNLP.

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

Jesse Thomason, Mohammad Rostami, Tejas Srinivasan, 2022, ArXiv.

Unsupervised Model Adaptation for Source-free Segmentation of Medical Images

Mohammad Rostami, Serban Stan, 2022, ArXiv.

CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks

Jesse Thomason, Mohammad Rostami, Tejas Srinivasan, 2022, NeurIPS.

Domain Adaptation for the Segmentation of Confidential Medical Images

Mohammad Rostami, Serban Stan, 2021, BMVC.

Zero-Shot Image Classification Using Coupled Dictionary Embedding pdf

Mohammad Rostami, Eric Eaton, Soheil Kolouri, 2019, Machine Learning with Applications.

SSIM-inspired image restoration using sparse representation

Edward R. Vrscay, Abdul Rehman, Zhou Wang, 2012, EURASIP Journal on Advances in Signal Processing.

Image Deblurring Using Derivative Compressed Sensing for Optical Imaging Application

Zhou Wang, Mohammad Rostami, Oleg V. Michailovich, 2011, IEEE Transactions on Image Processing.

Unsupervised Model Adaptation for Continual Semantic Segmentation pdf

Mohammad Rostami, Serban Stan, Mohammad Rostami, 2020, AAAI.

Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images

Mohammad Rostami, Serban Stan, 2021, ArXiv.

Explainability Methods for Graph Convolutional Neural Networks

Heiko Hoffmann, Mohammad Rostami, Soheil Kolouri, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment

Mohammad Rostami, Mengxi Wu, 2023, ArXiv.

Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning

Eric Eaton, Mohammad Rostami, David Isele, 2016, IJCAI.

Parameter selection for smoothing splines using Stein's Unbiased Risk Estimator

Mohammad Rostami, Fakhri Karray, Ali Ghodsi, 2011, The 2011 International Joint Conference on Neural Networks.

Detection and Continual Learning of Novel Face Presentation Attacks pdf

Mohammad Rostami, Leonidas Spinoulas, Wael Abd-Almageed, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Generative Continual Concept Learning

Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, 2019, AAAI.

Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition

Mohammad Rostami, Eric Eaton, Kyungnam Kim, 2017, AAMAS.

Objective Quality Assessment of Interpolated Natural Images

Zhou Wang, Mohammad Rostami, Hojatollah Yeganeh, 2015, IEEE Transactions on Image Processing.

Surface Reconstruction in Gradient-Field Domain Using Compressed Sensing

Zhou Wang, Mohammad Rostami, Oleg V. Michailovich, 2015, IEEE Transactions on Image Processing.

Secure Domain Adaptation with Multiple Sources

Mohammad Rostami, Serban Stan, 2021, Trans. Mach. Learn. Res..

Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning

Mohammad Rostami, Ruitong Sun, 2023, ArXiv.

Preserving Fairness in AI under Domain Shift

Mohammad Rostami, Serban Stan, 2023, ArXiv.

Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions

A. Galstyan, Mohammad Rostami, 2020, AAAI.

Sequential Unsupervised Domain Adaptation through Prototypical Distributions pdf

Mohammad Rostami, Aram Galstyan, A. Galstyan, 2020, ArXiv.

Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment

Mohammad Rostami, Alex Gabourie, Kyungnam Kim, 2019, 2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning

Eric Eaton, Kyungnam Kim, Mohammad Rostami, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

A crowdsourcing triage algorithm for geopolitical event forecasting

Mohammad Rostami, David J. Huber, Tsai-Ching Lu, 2018, RecSys.

Lifelong Domain Adaptation via Consolidated Internal Distribution

Mohammad Rostami, 2021, NeurIPS.

History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion

A. Galstyan, Mohammad Rostami, Mehrnoosh Mirtaheri, 2023, ACL.

Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models

Mohammad Rostami, Zizhao Hu, 2023, ArXiv.

Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning

Mohammad Rostami, Dayuan Jian, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer

David Isele, Mohammad Rostami, Eric Eaton, 2017, J. Artif. Intell. Res..

Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation

Mohammad Rostami, Zi-Yuan Hu, Zizhao Hu, 2023, ArXiv.

Objective quality assessment for image super-resolution: A natural scene statistics approach

Zhou Wang, Mohammad Rostami, Hojatollah Yeganeh, 2012, 2012 19th IEEE International Conference on Image Processing.

Efficient Environmental Temperature Monitoring Using Compressed Sensing

Mohammad Rostami, Ngai-Man Cheung, Ali Hashemi, 2016, 2016 Data Compression Conference (DCC).

I2I: Initializing Adapters with Improvised Knowledge

Jesse Thomason, Mohammad Rostami, Tejas Srinivasan, 2023, CoLLAs.

Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation

Jesse Thomason, Mohammad Rostami, Yuliang Cai, 2023, EMNLP.

Cognitively Inspired Learning of Incremental Drifting Concepts

A. Galstyan, Mohammad Rostami, 2021, IJCAI.

Lifelong Learning of Few-shot Learners across NLP Tasks pdf

Mohammad Rostami, Xiang Ren, Xisen Jin, 2021, ArXiv.

Undamped oscillations in fractional-order Duffing oscillator

Mohammad Rostami, Mohammad Haeri, M. Haeri, 2015, Signal Process..

Proposing a Algorithm for Finding Repetitive Patterns in Web Dataflow

Mohammad Rostami, Farid Saghari, Fatemeh Yaghoobi, 2015 .

One-shot Learning for Temporal Knowledge Graphs pdf

Mohammad Rostami, Fred Morstatter, Xiang Ren, 2020, AKBC.

Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks pdf

Mohammad Rostami, Heiko Hoffmann, Soheil Kolouri, 2018, ArXiv.

Joint Dictionaries for Zero-Shot Learning

Mohammad Rostami, Yuri Owechko, Kyungnam Kim, 2017, AAAI.

Automatic Text Classification Using Machine Learning Algorithm of K-Nearest Neighbor (K-NN) and N-Gram Indexing

Mohammad Rostami, Hekmatollah Mumivand, 2015 .

Image Super-Resolution Based on Sparsity Prior via Smoothed l0 Norm

Mohammad Rostami, Zhou Wang, Zhou Wang, 2016, ArXiv.

Testing Fine-Grained Parallelism for the ADMM on a Factor-Graph

Mohammad Rostami, Nate Derbinsky, Ning Hao, 2016, 2016 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Compressed Sensing with Side Information on the Feasible Region

Mohammad Rostami, Mohammad Rostami, 2013, Springer Briefs in Electrical and Computer Engineering.

Gradient-based surface reconstruction using compressed sensing

Zhou Wang, Mohammad Rostami, Oleg V. Michailovich, 2012, 2012 19th IEEE International Conference on Image Processing.

SSIM-inspired image restoration using sparse representation

E. Vrscay, Zhou Wang, Mohammad Rostami, 2012, EURASIP J. Adv. Signal Process..

Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation pdf

Mohammad Rostami, Aram Galstyan, A. Galstyan, 2021, ArXiv.

Improved Region Proposal Network for Enhanced Few-Shot Object Detection

Mohammad Rostami, Zeyu Shangguan, 2023, ArXiv.

Identification of Novel Classes for Improving Few-Shot Object Detection

Mohammad Rostami, Zeyu Shangguan, 2023, 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Image Super-Resolution Based on Sparsity Prior via Smoothed l0 Norm pdf

Zhou Wang, Mohammad Rostami, Zhou Wang, 2016, arXiv.org.

Unsupervised Model Adaptation for Source-free Segmentation of Medical Images

Mohammad Rostami, Serban Stan, 2022, Medical Image Anal..

Graph Harmony: Denoising and Nuclear-Norm Wasserstein Adaptation for Enhanced Domain Transfer in Graph-Structured Data

Mohammad Rostami, Mengxi Wu, 2023, 2301.12361.

Open Drug Knowledge Graph

Mohammad Rostami, Filip Ilievski, Mark Mann, 2021, KGCW@ESWC.

Deep Transfer Learning for Few-Shot SAR Image Classification

Eric Eaton, Kyungnam Kim, Mohammad Rostami, 2019, Remote Sensing.

Domain Agnostic Prototypical Distribution for Unsupervised Model Adaptation

A. Galstyan, Mohammad Rostami, 2020 .

Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images pdf

Mohammad Rostami, Serban Stan, Mohammad Rostami, 2021, ArXiv.

Sequential Model Adaptation Using Domain Agnostic Internal Distributions

Mohammad Rostami, 23 AramGalstyan, 2021 .

Increasing Model Generalizability for Unsupervised Visual Domain Adaptation

Mohammad Rostami, 2022, CoLLAs.

Lifelong Learning Networks: Beyond Single Agent Lifelong Learning

Mohammad Rostami, Eric Eaton, Eric Eaton, 2018, AAAI.

Transfer of Knowledge through Collective Learning

Mohammad Rostami, Mohammad Rostami, 2017, AAAI.

Compressed sensing of diffusion fields under heat equation constraint

Mohammad Rostami, Tony Q. S. Quek, Ngai-Man Cheung, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.