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Mohammadreza Salehi
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2020 – today
- 2024
- [j3]Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta:
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. Trans. Mach. Learn. Res. 2024 (2024) - [c8]Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
SIGMA: Sinkhorn-Guided Masked Video Modeling. ECCV (24) 2024: 293-312 - [i17]Luc P. J. Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. CoRR abs/2407.12427 (2024) - [i16]Mohammadreza Salehi, Michael Dorkenwald, Fida Mohammad Thoker, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
SIGMA: Sinkhorn-Guided Masked Video Modeling. CoRR abs/2407.15447 (2024) - [i15]Valentinos Pariza, Mohammadreza Salehi, Gertjan J. Burghouts, Francesco Locatello, Yuki M. Asano:
NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency. CoRR abs/2408.11054 (2024) - [i14]Sarah Rastegar, Mohammadreza Salehi, Yuki M. Asano, Hazel Doughty, Cees G. M. Snoek:
SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery. CoRR abs/2408.14371 (2024) - [i13]Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi:
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. CoRR abs/2409.17146 (2024) - 2023
- [c7]Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi:
SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. EMNLP (Findings) 2023: 10519-10532 - [c6]Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. ICCV 2023: 16490-16501 - [c5]Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban:
Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. ICLR 2023 - [i12]Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano:
Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. CoRR abs/2308.11796 (2023) - [i11]Mohammadreza Salehi, Sachin Mehta, Aditya Kusupati, Ali Farhadi, Hannaneh Hajishirzi:
SHARCS: Efficient Transformers through Routing with Dynamic Width Sub-networks. CoRR abs/2310.12126 (2023) - [i10]Mohammadreza Salehi, Mehrdad Farajtabar, Maxwell Horton, Fartash Faghri, Hadi Pouransari, Raviteja Vemulapalli, Oncel Tuzel, Ali Farhadi, Mohammad Rastegari, Sachin Mehta:
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement. CoRR abs/2310.14108 (2023) - 2022
- [j2]Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou:
A Unified Survey on Anomaly, Novelty, Open-Set, and Out of-Distribution Detection: Solutions and Future Challenges. Trans. Mach. Learn. Res. 2022 (2022) - [c4]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. CVPR 2022: 16354-16366 - [c3]Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi:
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. EMNLP 2022: 6655-6672 - [i9]Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi:
MERLOT Reserve: Neural Script Knowledge through Vision and Language and Sound. CoRR abs/2201.02639 (2022) - [i8]Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi:
Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing. CoRR abs/2205.11961 (2022) - [i7]Hossein Mirzaei, Mohammadreza Salehi, Sajjad Shahabi, Efstratios Gavves, Cees G. M. Snoek, Mohammad Sabokrou, Mohammad Hossein Rohban:
Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. CoRR abs/2205.14297 (2022) - [i6]Sina Taslimi, Soroush Taslimi, Nima Fathi, Mohammadreza Salehi, Mohammad Hossein Rohban:
SwinCheX: Multi-label classification on chest X-ray images with transformers. CoRR abs/2206.04246 (2022) - [i5]Ali Garjani, Atoosa Malemir Chegini, Mohammadreza Salehi, Alireza Tabibzadeh, Parastoo Yousefi
, Mohammad Hossein Razizadeh, Moein Esghaei, Maryam Esghaei
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection. CoRR abs/2210.13709 (2022) - 2021
- [j1]Mohammadreza Salehi, Atrin Arya
ARAE: Adversarially robust training of autoencoders improves novelty detection. Neural Networks 144: 726-736 (2021) - [c2]Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. CVPR 2021: 14902-14912 - [i4]Mohammadreza Salehi, Hossein Mirzaei, Dan Hendrycks, Yixuan Li, Mohammad Hossein Rohban, Mohammad Sabokrou:
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges. CoRR abs/2110.14051 (2021) - 2020
- [c1]Amirhossein Kazemnejad, Mohammadreza Salehi, Mahdieh Soleymani Baghshah:
Paraphrase Generation by Learning How to Edit from Samples. ACL 2020: 6010-6021 - [i3]Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
ARAE: Adversarially Robust Training of Autoencoders Improves Novelty Detection. CoRR abs/2003.05669 (2020) - [i2]Mohammadreza Salehi, Ainaz Eftekhar, Niousha Sadjadi, Mohammad Hossein Rohban, Hamid R. Rabiee:
Puzzle-AE: Novelty Detection in Images through Solving Puzzles. CoRR abs/2008.12959 (2020) - [i1]Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad Hossein Rohban, Hamid R. Rabiee:
Multiresolution Knowledge Distillation for Anomaly Detection. CoRR abs/2011.11108 (2020)
Coauthor Index
aka: Mohammad Hossein Rohban
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