Mohammadreza Salehi

According to our database, Mohammadreza Salehi authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement.

Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta

CoRR, 2023

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection.

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations.

Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks.

Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges.

Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou

Trans. Mach. Learn. Res., 2022

InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection.

Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei, Mohammad Hossein Rohban

CoRR, 2022

SwinCheX: Multi-label classification on chest X-ray images with transformers.

Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban

CoRR, 2022

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models.

Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban

CoRR, 2022

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing.

Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi

CoRR, 2022

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.

Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound.

Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ARAE: Adversarially robust training of autoencoders improves novelty detection.

Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee

Neural Networks, 2021

Multiresolution Knowledge Distillation for Anomaly Detection.

Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Puzzle-AE: Novelty Detection in Images through Solving Puzzles.

Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee

CoRR, 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