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Mohammad Azizmalayeri
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2020 – today
- 2025
- [j2]Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà:
Unmasking the chameleons: A benchmark for out-of-distribution detection in medical tabular data. Int. J. Medical Informatics 195: 105762 (2025) - 2024
- [c4]Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Universal Novelty Detection Through Adaptive Contrastive Learning. CVPR 2024: 22914-22923 - [c3]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 - [i11]Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà:
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations. CoRR abs/2405.12658 (2024) - [i10]Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban:
Universal Novelty Detection Through Adaptive Contrastive Learning. CoRR abs/2408.10798 (2024) - 2023
- [j1]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
Lagrangian objective function leads to improved unforeseen attack generalization. Mach. Learn. 112(8): 3003-3031 (2023) - [c2]Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. CSICC 2023: 1-6 - [i9]Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection. CoRR abs/2301.10454 (2023) - [i8]Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Ciná:
Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data. CoRR abs/2309.16220 (2023) - [i7]Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework. CoRR abs/2310.09952 (2023) - [i6]Mahdi Salmani, Alireza Dehghanpour Farashah, Mohammad Azizmalayeri, Mahdi Amiri, Navid Eslami, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods. CoRR abs/2310.18975 (2023) - [i5]Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection. CoRR abs/2311.00079 (2023) - 2022
- [c1]Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Your Out-of-Distribution Detection Method is Not Robust! NeurIPS 2022 - [i4]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
OOD Augmentation May Be at Odds with Open-Set Recognition. CoRR abs/2206.04242 (2022) - [i3]Simin Shekarpaz, Mohammad Azizmalayeri, Mohammad Hossein Rohban:
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations. CoRR abs/2207.06647 (2022) - [i2]Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban:
Your Out-of-Distribution Detection Method is Not Robust! CoRR abs/2209.15246 (2022) - 2021
- [i1]Mohammad Azizmalayeri, Mohammad Hossein Rohban:
Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training. CoRR abs/2103.15385 (2021)
Coauthor Index
aka: Mohammad Hossein Rohban
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