Hoshen, Yedid

38 publications

TMLR 2025 An Attribute-Based Method for Video Anomaly Detection Tal Reiss, Yedid Hoshen

ICLRW 2025 Can This Model Also Recognize Dogs? Zero-Shot Model Search from Weights Jonathan Kahana, Or Nathan, Eliahu Horwitz, Yedid Hoshen

ICLRW 2025 Dataset Size Recovery from Fine-Tuned Model Weights Mohammad Salama, Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen

ICLR 2025 Deep Linear Probe Generators for Weight Space Learning Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen

TMLR 2025 Distilling Datasets into Less than One Image Asaf Shul, Eliahu Horwitz, Yedid Hoshen

TMLR 2025 Enabling Users to Falsify Deepfake Attacks Tal Reiss, Bar Cavia, Yedid Hoshen

CVPR 2025 Learning on Model Weights Using Tree Experts Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen

ICLRW 2025 Learning on Model Weights Using Tree Experts Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen

ICCV 2025 ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation Daniel Winter, Asaf Shul, Matan Cohen, Dana Berman, Yael Pritch, Alex Rav-Acha, Yedid Hoshen

ICLR 2025 Unsupervised Model Tree Heritage Recovery Eliahu Horwitz, Asaf Shul, Yedid Hoshen

NeurIPS 2025 We Should Chart an Atlas of All the World's Models Eliahu Horwitz, Nitzan Kurer, Jonathan Kahana, Liel Amar, Yedid Hoshen

ECCV 2024 ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen

ICML 2024 Recovering the Pre-Fine-Tuning Weights of Generative Models Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen

TMLR 2024 Set Features for Anomaly Detection Niv Cohen, Issar Tzachor, Yedid Hoshen

CVPRW 2023 Back to the Feature: Classical 3D Features Are (Almost) All You Need for 3D Anomaly Detection Eliahu Horwitz, Yedid Hoshen

AAAI 2023 Mean-Shifted Contrastive Loss for Anomaly Detection Tal Reiss, Yedid Hoshen

ICLR 2023 Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors Niv Cohen, Jonathan Kahana, Yedid Hoshen

ECCV 2022 A Contrastive Objective for Learning Disentangled Representations Jonathan Kahana, Yedid Hoshen

ECCVW 2022 Anomaly Detection Requires Better Representations Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen

ECCVW 2022 Open-Vocabulary Semantic Segmentation Using Test-Time Distillation Nir Zabari, Yedid Hoshen

ECCVW 2022 Out-of-Distribution Detection Without Class Labels Niv Cohen, Ron Abutbul, Yedid Hoshen

ICLR 2022 The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua

NeurIPS 2021 An Image Is Worth More than a Thousand Words: Towards Disentanglement in the Wild Aviv Gabbay, Niv Cohen, Yedid Hoshen

ICCV 2021 Image Shape Manipulation from a Single Augmented Training Sample Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen

ICCV 2021 Membership Inference Attacks Are Easier on Difficult Problems Avital Shafran, Shmuel Peleg, Yedid Hoshen

CVPR 2021 PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen

ICCV 2021 Scaling-up Disentanglement for Image Translation Aviv Gabbay, Yedid Hoshen

ICLR 2020 Classification-Based Anomaly Detection for General Data Liron Bergman, Yedid Hoshen

ICLR 2020 Demystifying Inter-Class Disentanglement Aviv Gabbay, Yedid Hoshen

ICML 2019 Neural Separation of Observed and Unobserved Distributions Tavi Halperin, Ariel Ephrat, Yedid Hoshen

ICLR 2018 Identifying Analogies Across Domains Yedid Hoshen, Lior Wolf

ECCV 2018 NAM: Non-Adversarial Unsupervised Domain Mapping Yedid Hoshen, Lior Wolf

NeurIPS 2018 Non-Adversarial Mapping with VAEs Yedid Hoshen

NeurIPS 2017 VAIN: Attentional Multi-Agent Predictive Modeling Yedid Hoshen

CVPR 2016 An Egocentric Look at Video Photographer Identity Yedid Hoshen, Shmuel Peleg

AAAI 2016 Visual Learning of Arithmetic Operation Yedid Hoshen, Shmuel Peleg

WACV 2015 The Information in Temporal Histograms Yedid Hoshen, Shmuel Peleg

CVPRW 2014 Wisdom of the Crowd in Egocentric Video Curation Yedid Hoshen, Gil Ben-Artzi, Shmuel Peleg