Mahdieh Soleymani Baghshah

According to our database, Mahdieh Soleymani Baghshah authored at least 75 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Trained Models Tell Us How to Make Them Robust to Spurious Correlation without Group Annotation.

Mahdi Ghaznavi, Hesam Asadollahzadeh, Fahimeh Hosseini Noohdani, Soroush Vafaie Tabar, Hosein Hasani, Taha Akbari Alvanagh, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2024

PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation.

Mohammadamin Davoodabadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah

CoRR, 2024

ComAlign: Compositional Alignment in Vision-Language Models.

Ali Abdollah, Amirmohammad Izadi, Armin Saghafian, Reza Vahidimajd, Mohammad Mozafari, Amirreza Mirzaei, Mohammad Samiei, Mahdieh Soleymani Baghshah

CoRR, 2024

Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models.

Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2024

Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method.

Matina Mahdizadeh Sani, Ali Royat, Mahdieh Soleymani Baghshah

CoRR, 2024

Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language?

Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

CoRR, 2024

Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP.

Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2024

RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples.

Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models.

Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models.

Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation.

Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, HamidReza Yaghoubi Araghi, Mahdieh Soleymani Baghshah

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers.

Faridoun Mehri, Mohsen Fayyaz, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Annotation-Free Group Robustness via Loss-Based Resampling.

Mahdi Ghaznavi, Hesam Asadollahzadeh, HamidReza Yaghoubi Araghi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah

CoRR, 2023

A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning.

Seyyed AmirHossein Ameli Kalkhoran, Mohammadamin Banayeeanzade, Mahdi Samiei, Mahdieh Soleymani Baghshah

CoRR, 2023

Semantic Segmentation With Multiple Contradictory Annotations Using a Dynamic Score Function.

Pooya Esmaeil Akhoondi, Mahdieh Soleymani Baghshah

IEEE Access, 2023

Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection.

Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation.

Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data.

Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab

Medical Image Anal., 2022

HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging.

Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia

J. Imaging, 2022

SCGG: A Deep Structure-Conditioned Graph Generative Model.

Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

CoRR, 2022

CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation.

Yassaman Ommi, Matin Yousefabadi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows.

Adeleh Bitarafan, Mohammad Farid Azampour, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

BIMRL: Brain Inspired Meta Reinforcement Learning.

Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, Mahdieh Soleymani Baghshah

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

DMNP: A Deep Learning Approach for Missing Node Prediction in Partially Observed Graphs.

Faezeh Faez, Ali Akhoondian Amiri, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration.

Adeleh Bitarafan, Mahdi Nikdan, Mahdieh Soleymani Baghshah

IEEE J. Biomed. Health Informatics, 2021

Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech.

Alireza Roshanzamir, Hamid Aghajan, Mahdieh Soleymani Baghshah

BMC Medical Informatics Decis. Mak., 2021

DGSAN: Discrete generative self-adversarial network.

Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah

Neurocomputing, 2021

HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization.

Eduardo Conde-Sousa, João Vale, Ming Feng, Kele Xu, Yin Wang, Vincenzo Della Mea, David La Barbera, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Andreas Turzynski, Jacob Gildenblat, Eldad Klaiman, Yiyu Hong, Guilherme Aresta, Teresa Araújo, Paulo Aguiar, Catarina Eloy, António Polónia

CoRR, 2021

Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE.

Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah

CoRR, 2021

Deep Graph Generators: A Survey.

Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

IEEE Access, 2021

Generative vs. Discriminative: Rethinking The Meta-Continual Learning.

Mohammadamin Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani, Mahdieh Soleymani

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference.

Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning.

Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds.

Hassan Hafez-Kolahi, Zeinab Golgooni, Shohreh Kasaei, Mahdieh Soleymani

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method.

Hamidreza Khodajou-Chokami, Adeleh Bitarafan, Dmitry V. Dylov, Mahdieh Soleymani Baghshah, Seyed Abolfazl Hosseini

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks.

Adeleh Bitarafan, Afra Amini, Mahdieh Soleymani Baghshah, Hamidreza Khodajou-Chokami

Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications, 2020

Classification of 12-lead ECG Signals With Adversarial Multi-Source Domain Generalization.

Hosein Hasani, Adeleh Bitarafan, Mahdieh Soleymani Baghshah

Proceedings of the Computing in Cardiology, 2020

Paraphrase Generation by Learning How to Edit from Samples.

Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels.

Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah

IEEE Trans. Knowl. Data Eng., 2019

Jointly Measuring Diversity and Quality in Text Generation Models.

Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah

CoRR, 2019

Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks.

Hosein Hasani, Mahdieh Soleymani, Hamid Aghajan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Universal Adversarial Attacks on Text Classifiers.

Melika Behjati, Seyed-Mohsen Moosavi-Dezfooli, Mahdieh Soleymani Baghshah, Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2019

MGCN: semi-supervised classification in multi-layer graphs with graph convolutional networks.

Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018

Adversarial Classifier for Imbalanced Problems.

Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

CoRR, 2018

Multi-layered Graph Embedding with Graph Convolutional Networks.

Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

CoRR, 2018

2017

A probabilistic multi-label classifier with missing and noisy labels handling capability.

Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah

Pattern Recognit. Lett., 2017

Multi-modal deep distance metric learning.

Seyed Mahdi Roostaiyan, Ehsan Imani, Mahdieh Soleymani Baghshah

Intell. Data Anal., 2017

Joint predictive model and representation learning for visual domain adaptation.

Marzieh Gheisari, Mahdieh Soleymani Baghshah

Eng. Appl. Artif. Intell., 2017

NMF-Based Label Space Factorization for Multi-label Classification.

Mohammad Firouzi, Mahmood Karimian, Mahdieh Soleymani

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Incremental Evolving Domain Adaptation.

Adeleh Bitarafan, Mahdieh Soleymani Baghshah, Marzieh Gheisari

IEEE Trans. Knowl. Data Eng., 2016

Semi-supervised Zero-Shot Learning by a Clustering-based Approach.

Seyed Mohsen Shojaee, Mahdieh Soleymani Baghshah

CoRR, 2016

Selecting Efficient Features via a Hyper-Heuristic Approach.

Mitra Montazeri, Mahdieh Soleymani Baghshah, Aliakbar Niknafs

CoRR, 2016

An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels.

Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah

CoRR, 2016

Active Distance-Based Clustering Using K-Medoids.

Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

MDL-CW: A Multimodal Deep Learning Framework with CrossWeights.

Sarah Rastegar, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Seyed Mohsen Shojaee

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Unsupervised domain adaptation via representation learning and adaptive classifier learning.

Marzieh Gheisari, Mahdieh Soleymani Baghshah

Neurocomputing, 2015

Controlled Label Propagation: Preventing Over-Propagation through Gradual Expansion.

Aria Rezaei, Saeed Mahlouji Far, Mahdieh Soleymani

CoRR, 2015

Hyper-Heuristic Algorithm for Finding Efficient Features in Diagnose of Lung Cancer Disease.

Mitra Montazeri, Mahdieh Soleymani Baghshah, Ahmad Enhesari

CoRR, 2015

Near Linear-Time Community Detection in Networks with Hardly Detectable Community Structure.

Aria Rezaei, Saeed Mahlouji Far, Mahdieh Soleymani

Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2015

2014

Scalable semi-supervised clustering by spectral kernel learning.

Mahdieh Soleymani Baghshah, Fatemeh Afsari, Saeed Bagheri Shouraki, Esfandiar Eslami

Pattern Recognit. Lett., 2014

Multi-Modal Distance Metric Learning: ABayesian Non-parametric Approach.

Behnam Babagholami-Mohamadabadi, Seyed Mahdi Roostaiyan, Ali Zarghami, Mahdieh Soleymani Baghshah

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

PSSDL: Probabilistic Semi-supervised Dictionary Learning.

Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2011

Learning low-rank kernel matrices for constrained clustering.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Neurocomputing, 2011

Cooperating of Local Searches based Hyperheuristic Approach for Solving Traveling Salesman Problem.

Montazeri Mitra, Abbas Bahrololoum, Hossein Nezamabadi-pour, Mahdieh Soleymani Baghshah, Mahdieh Montazeri

Proceedings of the ECTA and FCTA 2011, 2011

2010

Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Pattern Recognit., 2010

Kernel-based metric learning for semi-supervised clustering.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Neurocomputing, 2010

Efficient Kernel Learning from Constraints and Unlabeled Data.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Low-rank kernel learning for semi-supervised clustering.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

2009

Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Intell. Data Anal., 2009

Semi-Supervised Metric Learning Using Pairwise Constraints.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Proceedings of the IJCAI 2009, 2009

2008

A Novel Semi-supervised Clustering Algorithm for Finding Clusters of Arbitrary Shapes.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Proceedings of the Advances in Computer Science and Engineering, 2008

An agent-based clustering algorithm using potential fields.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Caro Lucas

Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008

A fuzzy clustering algorithm for finding arbitrary shaped clusters.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki

Proceedings of the 6th ACS/IEEE International Conference on Computer Systems and Applications, 2008

2007

Evolving fuzzy classifiers using a symbiotic approach.

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Ramin Halavati, Caro Lucas

Proceedings of the IEEE Congress on Evolutionary Computation, 2007