Mohammad Rostami

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 110

Top Venues

Publications

Mohammad Rostami
Continuous Unsupervised Domain Adaptation Using Stabilized Representations and Experience Replay. CoRR (2024)
Mohammad Rostami
Improving unsupervised domain adaptation through class-conditional compact representations. Neural Comput. Appl. 36 (25) (2024)
Serban Stan, Mohammad Rostami
Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations. CoRR (2024)
Mohammad Rostami, Alan Liu, Karthikeyan Sundaresan
Scalable Acoustic IoT through Composable Distributed Beamforming Tags. IPSN (2024)
Mohammad Rostami, Amin Ghariyazi, Hamed Dashti, Mohammad Hossein Rohban, Hamid R. Rabiee
CRISPR: Ensemble Model. CoRR (2024)
Mohammad Rostami, Atik Faysal, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
Meta-Tasks: An alternative view on Meta-Learning Regularization. CoRR (2024)
Mohammad Rostami, Milad Mohammadi
Two-machine decentralized flow shop scheduling problem with inter-factory batch delivery system. Oper. Res. 24 (3) (2024)
Zeyu Shangguan, Daniel Seita, Mohammad Rostami
Cross-domain Multi-modal Few-shot Object Detection via Rich Text. CoRR (2024)
Mohammad Rostami, Salman Goli-Bidgoli
An overview of QoS-aware load balancing techniques in SDN-based IoT networks. J. Cloud Comput. 13 (1) (2024)
Mohammad Rostami
Continuous unsupervised domain adaptation using stabilized representations and experience replay. Neurocomputing 597 (2024)
Yuliang Cai, Mohammad Rostami
Dynamic Transformer Architecture for Continual Learning of Multimodal Tasks. CoRR (2024)
Serban Stan, Mohammad Rostami
Unsupervised model adaptation for source-free segmentation of medical images. Medical Image Anal. 95 (2024)
Navapat Nananukul, Hamid Soltanian-Zadeh, Mohammad Rostami
Unsupervised Federated Domain Adaptation for Segmentation of MRI Images. CoRR (2024)
Mehrnoosh Mirtaheri, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Tong Yu, Xiang Chen, Mohammad Rostami
Tackling Long-Tail Entities for Temporal Knowledge Graph Completion. WWW (Companion Volume) (2024)
Mohammad Rostami
Unsupervised Domain Adaptation Using Compact Internal Representations. CoRR (2024)
Mohammad Rostami, Dayuan Jian
Relating Events and Frames Based on Self-Supervised Learning and Uncorrelated Conditioning for Unsupervised Domain Adaptation. CoRR (2024)
Zizhao Hu, Mohammad Rostami
Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion. CoRR (2024)
Serban Stan, Mohammad Rostami
Source-free domain adaptation for semantic image segmentation using internal representations. Frontiers Big Data 7 (2024)
Zizhao Hu, Shaochong Jia, Mohammad Rostami
An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models. CoRR (2024)
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
History Repeats: Overcoming Catastrophic Forgetting For Event-Centric Temporal Knowledge Graph Completion. CoRR (2023)
Mohammad Rostami
Robust Internal Representations for Domain Generalization. CoRR (2023)
Mengxi Wu, Mohammad Rostami
Unsupervised Domain Adaptation for Graph-Structured Data Using Class-Conditional Distribution Alignment. CoRR (2023)
Zizhao Hu, Shaochong Jia, Mohammad Rostami
Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net. CoRR (2023)
Dayuan Jian, Mohammad Rostami
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. CoRR (2023)
Zizhao Hu, Mohammad Rostami
Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation. CoRR (2023)
Dayuan Jian, Mohammad Rostami
Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. ICCV (2023)
Yuliang Cai, Jesse Thomason, Mohammad Rostami
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. CoRR (2023)
Zeyu Shangguan, Mohammad Rostami
Identification of Novel Classes for Improving Few-Shot Object Detection. CoRR (2023)
Mohammad Rostami
Internal Robust Representations for Domain Generalization. AAAI (2023)
Zizhao Hu, Mohammad Rostami
Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization. CoRR (2023)
Mohammad Rostami, Digbalay Bose, Shrikanth Narayanan, Aram Galstyan
Domain Adaptation for Sentiment Analysis Using Robust Internal Representations. EMNLP (Findings) (2023)
Mohammad Rostami
Robust internal representations for domain generalization. AI Mag. 44 (4) (2023)
Mohammad Rostami, Aram Galstyan
Cognitively Inspired Learning of Incremental Drifting Concepts. IJCAI (2023)
Ruitong Sun, Mohammad Rostami
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning. CoRR (2023)
Mohammad Rostami, Salman Goli-Bidgoli
TMaLB: A Tolerable Many-Objective Load Balancing Technique for IoT Workflows Allocation. IEEE Access 11 (2023)
Serban Stan, Mohammad Rostami
Preserving Fairness in AI under Domain Shift. CoRR (2023)
Mohammad Rostami, Ali Yousefzadeh
A gamified teaching-learning based optimization algorithm for a three-echelon supply chain scheduling problem in a two-stage assembly flow shop environment. Appl. Soft Comput. 146 (2023)
Atik Faysal, Mohammad Rostami, Huaxia Wang, Avimanyu Sahoo, Ryan Antle
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning. CoRR (2023)
Zeyu Shangguan, Mohammad Rostami
Identification of Novel Classes for Improving Few-Shot Object Detection. ICCV (Workshops) (2023)
Mohammad Rostami, Aram Galstyan
Overcoming Concept Shift in Domain-Aware Settings through Consolidated Internal Distributions. AAAI (2023)
Mehrnoosh Mirtaheri, Mohammad Rostami, Aram Galstyan
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion. ACL (Findings) (2023)
Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
I2I: Initializing Adapters with Improvised Knowledge. CoRR (2023)
Viswanath Chadalapaka, Derek Nguyen, JoonWon Choi, Shaunak Joshi, Mohammad Rostami
Low-Shot Learning for Fictional Claim Verification. CoRR (2023)
Tejas Srinivasan, Furong Jia, Mohammad Rostami, Jesse Thomason
I2I: Initializing Adapters with Improvised Knowledge. CoLLAs (2023)
Zizhao Hu, Mohammad Rostami
Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models. CoRR (2023)
Zeyu Shangguan, Mohammad Rostami
Improved Region Proposal Network for Enhanced Few-Shot Object Detection. CoRR (2023)
Yuliang Cai, Jesse Thomason, Mohammad Rostami
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation. EMNLP (Findings) (2023)
Serban Stan, Mohammad Rostami
Domain Adaptation for the Segmentation of Confidential Medical Images. BMVC (2022)
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. CoRR (2022)
Serban Stan, Mohammad Rostami
Secure Domain Adaptation with Multiple Sources. Trans. Mach. Learn. Res. 2022 (2022)
Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. ICIP (2022)
Mohammad Rostami
Increasing Model Generalizability for Unsupervised Domain Adaptation. CoRR (2022)
Serban Stan, Mohammad Rostami
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images. CoRR (2022)
Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan
Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning. CoRR (2022)
Mohammad Rostami
Increasing Model Generalizability for Unsupervised Visual Domain Adaptation. CoLLAs (2022)
Mohammad Rostami, Karthikeyan Sundaresan
Enabling high accuracy pervasive tracking with ultra low power UWB tags. MobiCom (2022)
Tejas Srinivasan, Ting-Yun Chang, Leticia Leonor Pinto Alva, Georgios Chochlakis, Mohammad Rostami, Jesse Thomason
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks. NeurIPS (2022)
Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed
Detection and Continual Learning of Novel Face Presentation Attacks. CoRR (2021)
Mohammad Rostami, Xingda Chen, Yuda Feng, Karthikeyan Sundaresan, Deepak Ganesan
MIXIQ: re-thinking ultra-low power receiver design for next-generation on-body applications. MobiCom (2021)
Mohammad Rostami
Minimizing maximum tardiness subject to collect the EOL products in a single machine scheduling problem with capacitated batch delivery and pickup systems. Comput. Ind. Eng. 161 (2021)
Xisen Jin, Bill Yuchen Lin, Mohammad Rostami, Xiang Ren
Learn Continually, Generalize Rapidly: Lifelong Knowledge Accumulation for Few-shot Learning. EMNLP (Findings) (2021)
Serban Stan, Mohammad Rostami
Unsupervised Model Adaptation for Continual Semantic Segmentation. AAAI (2021)
Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed
Detection and Continual Learning of Novel Face Presentation Attacks. ICCV (2021)
Xisen Jin, Mohammad Rostami, Xiang Ren
Lifelong Learning of Few-shot Learners across NLP Tasks. CoRR (2021)
Mark Mann, Filip Ilievski, Mohammad Rostami, Aastha, Basel Shbita
Open Drug Knowledge Graph. KGCW@ESWC (2021)
Mohammad Rostami, Aram Galstyan
Cognitively Inspired Learning of Incremental Drifting Concepts. CoRR (2021)
Serban Stan, Mohammad Rostami
Secure Domain Adaptation with Multiple Sources. CoRR (2021)
Mohammad Rostami, Armin Jabbarzadeh
Integrated hub location and flow processing schedule problem under renewable capacity constraint. Comput. Appl. Math. 40 (5) (2021)
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
One-shot Learning for Temporal Knowledge Graphs. AKBC (2021)
Mohammad Rostami, Aram Galstyan
Domain Adaptation for Sentiment Analysis Using Increased Intraclass Separation. CoRR (2021)
Mohammad Rostami
Lifelong Domain Adaptation via Consolidated Internal Distribution. NeurIPS (2021)
Serban Stan, Mohammad Rostami
Privacy Preserving Domain Adaptation for Semantic Segmentation of Medical Images. CoRR (2021)
Xingda Chen, Deepak Ganesan, Jeremy Gummeson, Mohammad Rostami
COCOON: A Conductive Substrate-based Coupled Oscillator Network for Wireless Communication. SenSys (2021)
Ziping Hu, Zepei Zhao, Mohammad Rostami, Filip Ilievski, Basel Shbita
Demo: Knowledge Graph-Based Housing Market Analysis. KGCW@ESWC (2021)
Mohammad Rostami, Aram Galstyan
Sequential Unsupervised Domain Adaptation through Prototypical Distributions. CoRR (2020)
Serban Stan, Mohammad Rostami
Unsupervised Model Adaptation for Continual Semantic Segmentation. CoRR (2020)
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly, James L. McClelland
Generative Continual Concept Learning. AAAI (2020)
Mohammad Rostami, David Isele, Eric Eaton
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. J. Artif. Intell. Res. 67 (2020)
Mohammad Rostami, Karthik Sundaresan, Eugene Chai, Sampath Rangarajan, Deepak Ganesan
Redefining passive in backscattering with commodity devices. MobiCom (2020)
Mohammad Rostami, Morteza Bagherpour
A lagrangian relaxation algorithm for facility location of resource-constrained decentralized multi-project scheduling problems. Oper. Res. 20 (2) (2020)
Mehrnoosh Mirtaheri, Mohammad Rostami, Xiang Ren, Fred Morstatter, Aram Galstyan
One-shot Learning for Temporal Knowledge Graphs. CoRR (2020)
Mohammad Rostami, Shiva Nikravesh, Mahdi Shahin
Minimizing total weighted completion and batch delivery times with machine deterioration and learning effect: a case study from wax production. Oper. Res. 20 (3) (2020)
Alexander J. Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. Allerton (2019)
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. CoRR (2019)
Alex Gabourie, Mohammad Rostami, Phillip E. Pope, Soheil Kolouri, Kyungnam Kim
Learning a Domain-Invariant Embedding for Unsupervised Domain Adaptation Using Class-Conditioned Distribution Alignment. CoRR (2019)
Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
Deep Transfer Learning for Few-Shot SAR Image Classification. Remote. Sens. 11 (11) (2019)
Mohammad Rostami, Soheil Kolouri, James L. McClelland, Praveen K. Pilly
Generative Continual Concept Learning. CoRR (2019)
Mohammad Rostami, Soheil Kolouri, Praveen K. Pilly
Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay. IJCAI (2019)
Mohammad Rostami, Soheil Kolouri, Eric Eaton, Kyungnam Kim
SAR Image Classification Using Few-Shot Cross-Domain Transfer Learning. CVPR Workshops (2019)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Explainability Methods for Graph Convolutional Neural Networks. CVPR (2019)
Mohammad Rostami, Soheil Kolouri, Zak Murez, Yuri Owekcho, Eric Eaton, Kyungnam Kim
Zero-Shot Image Classification Using Coupled Dictionary Embedding. CoRR (2019)
Mohammad Rostami, Jeremy Gummeson, Ali Kiaghadi, Deepak Ganesan
Polymorphic radios: a new design paradigm for ultra-low power communication. SIGCOMM (2018)
Mohammad Rostami, Eric Eaton
Lifelong Learning Networks: Beyond Single Agent Lifelong Learning. AAAI (2018)
Mohammad Rostami, David J. Huber, Tsai-Ching Lu
A crowdsourcing triage algorithm for geopolitical event forecasting. RecSys (2018)
Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. AAMAS (2018)
Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
Joint Dictionaries for Zero-Shot Learning. AAAI (2018)
Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann
Discovering Molecular Functional Groups Using Graph Convolutional Neural Networks. CoRR (2018)
Soheil Kolouri, Mohammad Rostami, Yuri Owechko, Kyungnam Kim
Joint Dictionaries for Zero-Shot Learning. CoRR (2017)
David Isele, Mohammad Rostami, Eric Eaton
Using Task Descriptions in Lifelong Machine Learning for Improved Performance and Zero-Shot Transfer. CoRR (2017)
Mohammad Rostami, Soheil Kolouri, Kyungnam Kim, Eric Eaton
Multi-Agent Distributed Lifelong Learning for Collective Knowledge Acquisition. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mohammad Rostami