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ORCIDMahdieh Soleymani Baghshah
Mahdieh Soleymani
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2020 – today
- 2024
[c36]Faridoun Mehri, Mohsen Fayyaz, Mahdieh Soleymani Baghshah, Mohammad Taher Pilehvar:
SkipPLUS: Skip the First Few Layers to Better Explain Vision Transformers. CVPR Workshops 2024: 204-215- [c35]Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, HamidReza Yaghoubi Araghi, Mahdieh Soleymani Baghshah:
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation. CVPR 2024: 27652-27661 - [c34]Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. ECAI 2024: 729-736 - [c33]Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models. ICLR 2024 - [c32]Hossein Mirzaei, Mohammad Jafari, Hamid Reza Dehbashi, Ali Ansari, Sepehr Ghobadi, Masoud Hadi, Arshia Soltani Moakhar, Mohammad Azizmalayeri, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban:
RODEO: Robust Outlier Detection via Exposing Adaptive Out-of-Distribution Samples. ICML 2024 - [i30]Fahimeh Hosseini Noohdani, Parsa Hosseini, Aryan Yazdan Parast, HamidReza Yaghoubi Araghi, Mahdieh Soleymani Baghshah:
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation. CoRR abs/2402.18919 (2024) - [i29]Reza Abbasi, Mohammad Samiei, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Language Plays a Pivotal Role in the Object-Attribute Compositional Generalization of CLIP. CoRR abs/2403.18525 (2024) - [i28]Omid Ghahroodi, Marzia Nouri, Mohammad V. Sanian, Alireza Sahebi, Doratossadat Dastgheib, Ehsaneddin Asgari, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban:
Khayyam Challenge (PersianMMLU): Is Your LLM Truly Wise to The Persian Language? CoRR abs/2404.06644 (2024) - [i27]Matina Mahdizadeh Sani, Ali Royat, Mahdieh Soleymani Baghshah:
Classification of Breast Cancer Histopathology Images using a Modified Supervised Contrastive Learning Method. CoRR abs/2405.03642 (2024) - [i26]Reza Abbasi, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Deciphering the Role of Representation Disentanglement: Investigating Compositional Generalization in CLIP Models. CoRR abs/2407.05897 (2024) - [i25]Ali Abdollahi, Mahdi Ghaznavi, Mohammad Reza Karimi Nejad
, Arash Mari Oriyad, Reza Abbasi, Ali Salesi, Melika Behjati, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
GABInsight: Exploring Gender-Activity Binding Bias in Vision-Language Models. CoRR abs/2407.21001 (2024) - [i24]Ali Abdollah, Amirmohammad Izadi, Armin Saghafian, Reza Vahidimajd, Mohammad Mozafari, Amirreza Mirzaei, Mohammad Samiei, Mahdieh Soleymani Baghshah:
ComAlign: Compositional Alignment in Vision-Language Models. CoRR abs/2409.08206 (2024) - [i23]Mohammadamin Davoodabadi, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah:
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation. CoRR abs/2410.01745 (2024) - 2023
- [j19]Pooya Esmaeil Akhoondi, Mahdieh Soleymani Baghshah:
Semantic Segmentation With Multiple Contradictory Annotations Using a Dynamic Score Function. IEEE Access 11: 64544-64558 (2023) - [c31]Mohammad Mozafari, Adeleh Bitarafan, Mohammad Farid Azampour, Azade Farshad, Mahdieh Soleymani Baghshah, Nassir Navab:
VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. MICCAI (2) 2023: 112-122 - [c30]Omid Ghahroodi, Mohammad Ali Sadraei Javaheri, Doratossadat Dastgheib, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban, Hamid R. Rabiee, Ehsaneddin Asgari:
Sina at SemEval-2023 Task 4: A Class-Token Attention-based Model for Human Value Detection. SemEval@ACL 2023: 2164-2167 - [i22]Seyyed AmirHossein Ameli Kalkhoran, Mohammadamin Banayeeanzade, Mahdi Samiei, Mahdieh Soleymani Baghshah:
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning. CoRR abs/2301.04506 (2023) - [i21]Mahdi Ghaznavi, Hesam Asadollahzadeh, HamidReza Yaghoubi Araghi, Fahimeh Hosseini Noohdani, Mohammad Hossein Rohban, Mahdieh Soleymani Baghshah:
Annotation-Free Group Robustness via Loss-Based Resampling. CoRR abs/2312.04893 (2023) - 2022
- [j18]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:
HEROHE Challenge: Predicting HER2 Status in Breast Cancer from Hematoxylin-Eosin Whole-Slide Imaging. J. Imaging 8(8): 213 (2022) - [j17]Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
RA-GCN: Graph convolutional network for disease prediction problems with imbalanced data. Medical Image Anal. 75: 102272 (2022) - [c29]Faezeh Faez, Ali Akhoondian Amiri, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
DMNP: A Deep Learning Approach for Missing Node Prediction in Partially Observed Graphs. ASONAM 2022: 76-79 - [c28]Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, Mahdieh Soleymani Baghshah:
BIMRL: Brain Inspired Meta Reinforcement Learning. IROS 2022: 9048-9053 - [c27]Adeleh Bitarafan, Mohammad Farid Azampour, Kian Bakhtari, Mahdieh Soleymani Baghshah, Matthias Keicher, Nassir Navab:
Vol2Flow: Segment 3D Volumes Using a Sequence of Registration Flows. MICCAI (4) 2022: 609-618 - [c26]Yassaman Ommi, Matin Yousefabadi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation. WWW (Companion Volume) 2022: 1092-1098 - [i20]Seyyede Fatemeh Seyyedsalehi, Mahdieh Soleymani, Hamid R. Rabiee:
SOInter: A Novel Deep Energy Based Interpretation Method for Explaining Structured Output Models. CoRR abs/2202.09914 (2022) - [i19]Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
SCGG: A Deep Structure-Conditioned Graph Generative Model. CoRR abs/2209.09681 (2022) - [i18]Seyed Roozbeh Razavi Rohani, Saeed Hedayatian, Mahdieh Soleymani Baghshah:
BIMRL: Brain Inspired Meta Reinforcement Learning. CoRR abs/2210.16530 (2022) - 2021
- [j16]Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Deep Graph Generators: A Survey. IEEE Access 9: 106675-106702 (2021) - [j15]Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah:
DGSAN: Discrete generative self-adversarial network. Neurocomputing 448: 364-379 (2021) - [j14]Alireza Roshanzamir, Hamid Aghajan, Mahdieh Soleymani Baghshah:
Transformer-based deep neural network language models for Alzheimer's disease risk assessment from targeted speech. BMC Medical Informatics Decis. Mak. 21(1): 92 (2021) - [j13]Adeleh Bitarafan, Mahdi Nikdan, Mahdieh Soleymani Baghshah:
3D Image Segmentation With Sparse Annotation by Self-Training and Internal Registration. IEEE J. Biomed. Health Informatics 25(7): 2665-2672 (2021) - [j12]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:
MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge. IEEE Trans. Medical Imaging 40(12): 3413-3423 (2021) - [c25]Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah:
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. ICML 2021: 3998-4007 - [c24]Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. MICCAI (5) 2021: 709-718 - [c23]Mohammadamin Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani, Mahdieh Soleymani:
Generative vs. Discriminative: Rethinking The Meta-Continual Learning. NeurIPS 2021: 21592-21604 - [i17]Sina Hajimiri, Aryo Lotfi, Mahdieh Soleymani Baghshah:
Semi-Supervised Disentanglement of Class-Related and Class-Independent Factors in VAE. CoRR abs/2102.00892 (2021) - [i16]Mahsa Ghorbani, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data. CoRR abs/2103.00221 (2021) - [i15]Mahsa Ghorbani, Mojtaba Bahrami, Anees Kazi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Nassir Navab:
GKD: Semi-supervised Graph Knowledge Distillation for Graph-Independent Inference. CoRR abs/2104.03597 (2021) - [i14]Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah:
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning. CoRR abs/2105.04180 (2021) - [i13]Matin Yousefabadi, Yassaman Ommi, Faezeh Faez, Amirmojtaba Sabour, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
CCGG: A Deep Autoregressive Model for Class-Conditional Graph Generation. CoRR abs/2110.03800 (2021) - [i12]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:
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization. CoRR abs/2111.04738 (2021) - 2020
- [c22]Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah:
Paraphrase Generation by Learning How to Edit from Samples. ACL 2020: 6010-6021 - [c21]Hosein Hasani, Adeleh Bitarafan, Mahdieh Soleymani Baghshah:
Classification of 12-lead ECG Signals With Adversarial Multi-Source Domain Generalization. CinC 2020: 1-4 - [c20]Adeleh Bitarafan, Afra Amini, Mahdieh Soleymani Baghshah, Hamidreza Khodajou-Chokami:
A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks. MeMeA 2020: 1-6 - [c19]Hamidreza Khodajou-Chokami, Adeleh Bitarafan, Dmitry V. Dylov, Mahdieh Soleymani Baghshah, Seyed Abolfazl Hosseini:
Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method. MeMeA 2020: 1-6 - [c18]Hassan Hafez-Kolahi, Zeinab Golgooni, Shohreh Kasaei, Mahdieh Soleymani:
Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds. NeurIPS 2020 - [i11]Faezeh Faez, Yassaman Ommi, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Deep Graph Generators: A Survey. CoRR abs/2012.15544 (2020)
2010 – 2019
- 2019
- [j11]Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah:
An Efficient Semi-Supervised Multi-label Classifier Capable of Handling Missing Labels. IEEE Trans. Knowl. Data Eng. 31(2): 229-242 (2019) - [c17]Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
MGCN: semi-supervised classification in multi-layer graphs with graph convolutional networks. ASONAM 2019: 208-211 - [c16]Melika Behjati, Seyed-Mohsen Moosavi-Dezfooli, Mahdieh Soleymani Baghshah, Pascal Frossard:
Universal Adversarial Attacks on Text Classifiers. ICASSP 2019: 7345-7349 - [c15]Hosein Hasani, Mahdieh Soleymani, Hamid Aghajan:
Surround Modulation: A Bio-inspired Connectivity Structure for Convolutional Neural Networks. NeurIPS 2019: 15877-15888 - [i10]Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah:
Jointly Measuring Diversity and Quality in Text Generation Models. CoRR abs/1904.03971 (2019) - [i9]Ehsan Montahaei, Danial Alihosseini, Mahdieh Soleymani Baghshah:
DGSAN: Discrete Generative Self-Adversarial Network. CoRR abs/1908.09127 (2019) - 2018
- [i8]Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Multi-layered Graph Embedding with Graph Convolutional Networks. CoRR abs/1811.08800 (2018) - [i7]Ehsan Montahaei, Mahsa Ghorbani, Mahdieh Soleymani Baghshah, Hamid R. Rabiee:
Adversarial Classifier for Imbalanced Problems. CoRR abs/1811.08812 (2018) - 2017
- [j10]Marzieh Gheisari, Mahdieh Soleymani Baghshah:
Joint predictive model and representation learning for visual domain adaptation. Eng. Appl. Artif. Intell. 58: 157-170 (2017) - [j9]Seyed Mahdi Roostaiyan, Ehsan Imani, Mahdieh Soleymani Baghshah:
Multi-modal deep distance metric learning. Intell. Data Anal. 21(6): 1351-1369 (2017) - [j8]Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah:
A probabilistic multi-label classifier with missing and noisy labels handling capability. Pattern Recognit. Lett. 89: 18-24 (2017) - [c14]Mohammad Firouzi, Mahmood Karimian, Mahdieh Soleymani:
NMF-Based Label Space Factorization for Multi-label Classification. ICMLA 2017: 297-303 - 2016
- [j7]Adeleh Bitarafan, Mahdieh Soleymani Baghshah, Marzieh Gheisari:
Incremental Evolving Domain Adaptation. IEEE Trans. Knowl. Data Eng. 28(8): 2128-2141 (2016) - [c13]Sarah Rastegar, Mahdieh Soleymani Baghshah, Hamid R. Rabiee, Seyed Mohsen Shojaee:
MDL-CW: A Multimodal Deep Learning Framework with CrossWeights. CVPR 2016: 2601-2609 - [c12]Amin Aghaee, Mehrdad Ghadiri, Mahdieh Soleymani Baghshah:
Active Distance-Based Clustering Using K-Medoids. PAKDD (1) 2016: 253-264 - [i6]Mitra Montazeri, Mahdieh Soleymani Baghshah, Aliakbar Niknafs:
Selecting Efficient Features via a Hyper-Heuristic Approach. CoRR abs/1601.05409 (2016) - [i5]Seyed Mohsen Shojaee, Mahdieh Soleymani Baghshah:
Semi-supervised Zero-Shot Learning by a Clustering-based Approach. CoRR abs/1605.09016 (2016) - [i4]Amirhossein Akbarnejad, Mahdieh Soleymani Baghshah:
An Efficient Large-scale Semi-supervised Multi-label Classifier Capable of Handling Missing labels. CoRR abs/1606.05725 (2016) - 2015
- [j6]Marzieh Gheisari, Mahdieh Soleymani Baghshah:
Unsupervised domain adaptation via representation learning and adaptive classifier learning. Neurocomputing 165: 300-311 (2015) - [c11]Aria Rezaei, Saeed Mahlouji Far, Mahdieh Soleymani:
Near Linear-Time Community Detection in Networks with Hardly Detectable Community Structure. ASONAM 2015: 65-72 - [i3]Aria Rezaei, Saeed Mahlouji Far, Mahdieh Soleymani:
Controlled Label Propagation: Preventing Over-Propagation through Gradual Expansion. CoRR abs/1503.04694 (2015) - [i2]Mehrdad Ghadiri, Amin Aghaee, Mahdieh Soleymani Baghshah:
Active Distance-Based Clustering using K-medoids. CoRR abs/1512.03953 (2015) - [i1]Mitra Montazeri, Mahdieh Soleymani Baghshah, Ahmad Enhesari:
Hyper-Heuristic Algorithm for Finding Efficient Features in Diagnose of Lung Cancer Disease. CoRR abs/1512.04652 (2015) - 2014
- [j5]Mahdieh Soleymani Baghshah, Fatemeh Afsari, Saeed Bagheri Shouraki, Esfandiar Eslami:
Scalable semi-supervised clustering by spectral kernel learning. Pattern Recognit. Lett. 45: 161-171 (2014) - [c10]Behnam Babagholami-Mohamadabadi, Seyed Mahdi Roostaiyan, Ali Zarghami, Mahdieh Soleymani Baghshah:
Multi-Modal Distance Metric Learning: ABayesian Non-parametric Approach. ECCV Workshops (3) 2014: 63-77 - 2013
- [c9]Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah:
PSSDL: Probabilistic Semi-supervised Dictionary Learning. ECML/PKDD (3) 2013: 192-207 - 2011
- [j4]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Learning low-rank kernel matrices for constrained clustering. Neurocomputing 74(12-13): 2201-2211 (2011) - [c8]Montazeri Mitra, Abbas Bahrololoum, Hossein Nezamabadi-pour, Mahdieh Soleymani Baghshah, Mahdieh Montazeri:
Cooperating of Local Searches based Hyperheuristic Approach for Solving Traveling Salesman Problem. IJCCI (ECTA-FCTA) 2011: 329-332 - 2010
- [j3]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Kernel-based metric learning for semi-supervised clustering. Neurocomputing 73(7-9): 1352-1361 (2010) - [j2]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data. Pattern Recognit. 43(8): 2982-2992 (2010) - [c7]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Low-rank kernel learning for semi-supervised clustering. IEEE ICCI 2010: 567-572 - [c6]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Efficient Kernel Learning from Constraints and Unlabeled Data. ICPR 2010: 3364-3367
2000 – 2009
- 2009
- [j1]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data. Intell. Data Anal. 13(6): 887-899 (2009) - [c5]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
Semi-Supervised Metric Learning Using Pairwise Constraints. IJCAI 2009: 1217-1222 - 2008
- [c4]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Caro Lucas:
An agent-based clustering algorithm using potential fields. AICCSA 2008: 551-558 - [c3]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
A fuzzy clustering algorithm for finding arbitrary shaped clusters. AICCSA 2008: 559-566 - [c2]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki:
A Novel Semi-supervised Clustering Algorithm for Finding Clusters of Arbitrary Shapes. CSICC 2008: 876-879 - 2007
- [c1]Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Ramin Halavati, Caro Lucas:
Evolving fuzzy classifiers using a symbiotic approach. IEEE Congress on Evolutionary Computation 2007: 1601-1607
Coauthor Index
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