Paraphrase Generation by Learning How to Edit from Samples. - Amirhossein Kazemnejad; Mohammadreza Salehi; Mahdieh Soleymani Baghshah (ACL, 2020)

Puzzle-AE: Novelty Detection in Images through Solving Puzzles. - Mohammadreza Salehi; Ainaz Eftekhar; Niousha Sadjadi; Mohammad Hossein Rohban; Hamid R. Rabiee (CoRR, 2020)

Multiresolution Knowledge Distillation for Anomaly Detection. - Mohammadreza Salehi; Niousha Sadjadi; Soroosh Baselizadeh; Mohammad H. Rohban; Hamid R. Rabiee (CVPR, 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)

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 001 (CVPR, 2022)

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. - Akari Asai; Mohammadreza Salehi; Matthew E. Peters; Hannaneh Hajishirzi (EMNLP, 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)

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)

SwinCheX: Multi-label classification on chest X-ray images with transformers. - Sina Taslimi; Soroush Taslimi; Nima Fathi; Mohammadreza Salehi; Mohammad Hossein Rohban (CoRR, 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)

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 001; Mohammad Hossein Rohban; Mohammad Sabokrou (Trans. Mach. Learn. Res., 2022)

SHARCS: Efficient Transformers Through Routing with Dynamic Width Sub-networks. - Mohammadreza Salehi; Sachin Mehta; Aditya Kusupati; Ali Farhadi; Hannaneh Hajishirzi (EMNLP (Findings), 2023)

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. - Mohammadreza Salehi; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ICCV, 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 (ICLR, 2023)

Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. - Mohammadreza Salehi; Nikolaos Apostolikas; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ACCV (6), 2024)

SelEx: Self-expertise in Fine-Grained Generalized Category Discovery. - Sarah Rastegar; Mohammadreza Salehi; Yuki M. Asano; Hazel Doughty; Cees G. M. Snoek (ECCV (70), 2024)

SIGMA: Sinkhorn-Guided Masked Video Modeling. - Mohammadreza Salehi; Michael Dorkenwald; Fida Mohammad Thoker; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (24), 2024)

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. - Luc P. J. Sträter; Mohammadreza Salehi; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (37), 2024)

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Mohammadreza Salehi; Jae Sung Park; Aditya Kusupati; Ranjay Krishna; Yejin Choi 001; Hanna Hajishirzi; Ali Farhadi (NeurIPS, 2024)

NeCo: Improving DINOv2's spatial representations in 19 GPU hours with Patch Neighbor Consistency. - Valentinos Pariza; Mohammadreza Salehi; Gertjan J. Burghouts; Francesco Locatello; Yuki M. Asano (CoRR, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition. - Mohammadreza Salehi; Jae Sung Park; Tanush Yadav; Aditya Kusupati; Ranjay Krishna; Yejin Choi 001; Hannaneh Hajishirzi; Ali Farhadi (CoRR, 2024)

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 (Trans. Mach. Learn. Res., 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)

RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations. - Peter V. Sushko; Ayana Bharadwaj; Zhi Yang Lim; Vasily Ilin; Ben Caffee; Dongping Chen; Mohammadreza Salehi; Cheng-Yu Hsieh; Ranjay Krishna (CVPR, 2025)

Near, far: Patch-ordering enhances vision foundation models' scene understanding. - Valentinos Pariza; Mohammadreza Salehi; Gertjan J. Burghouts; Francesco Locatello; Yuki M. Asano (ICLR, 2025)

A Non-Isolated Extendable Boost Topology With Continuous Input and Output Currents. - Hossein Gholizadeh; Alireza Poursalan; Reza Sharifi Shahrivar; Saeed Amini; Mohammadreza Salehi; Lazhar Ben-Brahim (IEEE Access, 2025)

Artificial intelligence-driven approaches in antibiotic stewardship programs and optimizing prescription practices: A systematic review. - Hamid Harandi; Maryam Shafaati; Mohammadreza Salehi; Mohammad Mahdi Roozbahani; Keyhan Mohammadi; Samaneh Akbarpour; Ramin Rahimnia; Gholamreza Hassanpour; Yasin Rahmani; Arash Seifi (Artif. Intell. Medicine, 2025)

A Contrastive Teacher-Student Framework for Novelty Detection under Style Shifts. - Hossein Mirzaei; Mojtaba Nafez; Moein Madadi; Arad Maleki; Mahdi Hajialilue; Zeinab Sadat Taghavi; Sepehr Rezaee; Ali Ansari 001; Bahar Dibaei Nia; Kian Shamsaie; Mohammadreza Salehi; Mackenzie W. Mathis; et al. (CoRR, 2025)

Crane: Context-Guided Prompt Learning and Attention Refinement for Zero-Shot Anomaly Detections. - Alireza Salehi; Mohammadreza Salehi; Reshad Hosseini; Cees G. M. Snoek; Makoto Yamada; Mohammad Sabokrou (CoRR, 2025)

One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object Trajectory. - Chenhao Zheng; Jieyu Zhang 001; Mohammadreza Salehi; Ziqi Gao; Vishnu Iyengar; Norimasa Kobori; Quan Kong; Ranjay Krishna (CoRR, 2025)

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. - Mohammadreza Salehi; Shashanka Venkataramanan; Ioana Simion; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2025)

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation. - Divyanshu Mishra; Mohammadreza Salehi; Pramit Saha; Olga Patey; Aris T. Papageorghiou; Yuki M. Asano; J. Alison Noble (CoRR, 2025)

Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning. - Shashanka Venkataramanan; Valentinos Pariza; Mohammadreza Salehi; Lukas Knobel; Spyros Gidaris; Elias Ramzi; Andrei Bursuc; Yuki M. Asano (CoRR, 2025)