Mohammad Azizmalayeri

According to our database, Mohammad Azizmalayeri authored at least 13 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations.

Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Cinà

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

Universal Novelty Detection Through Adaptive Contrastive Learning.

Hossein Mirzaei, Mojtaba Nafez, Mohammad Jafari, Mohammad Bagher Soltani, Mohammad Azizmalayeri, Jafar Habibi, Mohammad Sabokrou, Mohammad Hossein Rohban

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

2023

Lagrangian objective function leads to improved unforeseen attack generalization.

Mohammad Azizmalayeri, Mohammad Hossein Rohban

Mach. Learn., 2023

Spuriosity Rankings for Free: A Simple Framework for Last Layer Retraining Based on Object Detection.

Mohammad Azizmalayeri, Reza Abbasi, Amir Hosein Haji Mohammad rezaie, Reihaneh Zohrabi, Mahdi Amiri, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

CoRR, 2023

Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods.

Mahdi Salmani, Alireza Dehghanpour Farashah, Mohammad Azizmalayeri, Mahdi Amiri, Navid Eslami, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

CoRR, 2023

Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework.

Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

CoRR, 2023

Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data.

Mohammad Azizmalayeri, Ameen Abu-Hanna, Giovanni Ciná

CoRR, 2023

A Data-Centric Approach for Improving Adversarial Training Through the Lens of Out-of-Distribution Detection.

Mohammad Azizmalayeri, Arman Zarei, Alireza Isavand, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

Proceedings of the 28th International Computer Conference, Computer Society of Iran, 2023

2022

PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations.

Simin Shekarpaz, Mohammad Azizmalayeri, Mohammad Hossein Rohban

CoRR, 2022

OOD Augmentation May Be at Odds with Open-Set Recognition.

Mohammad Azizmalayeri, Mohammad Hossein Rohban

CoRR, 2022

Your Out-of-Distribution Detection Method is Not Robust!

Mohammad Azizmalayeri, Arshia Soltani Moakhar, Arman Zarei, Reihaneh Zohrabi, Mohammad Taghi Manzuri, Mohammad Hossein Rohban

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Lagrangian Objective Function Leads to Improved Unforeseen Attack Generalization in Adversarial Training.

Mohammad Azizmalayeri, Mohammad Hossein Rohban

CoRR, 2021