Yedid Hoshen - RankMe

110 papers A* 21A 3B 2Misc 4Journal 66Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Dataset is Worth 1 MB. CoRR Elad Kimchi Shoshani, Leeyam Gabay, Yedid Hoshen
2026	J	`jnl`	Alterbute: Editing Intrinsic Attributes of Objects in Images. CoRR Tal Reiss, Daniel Winter, Matan Cohen, Alex Rav-Acha, Yael Pritch, Ariel Shamir, Yedid Hoshen
2026	J	`jnl`	Discovering Hidden Gems in Model Repositories. CoRR Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen
2025	J	`jnl`	An Attribute-based Method for Video Anomaly Detection. Trans. Mach. Learn. Res. Tal Reiss, Yedid Hoshen
2025	J	`jnl`	Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights. CoRR Jonathan Kahana, Or Nathan, Eliahu Horwitz, Yedid Hoshen
2025	J	`jnl`	Charting and Navigating Hugging Face's Model Atlas. CoRR Eliahu Horwitz, Nitzan Kurer, Jonathan Kahana, Liel Amar, Yedid Hoshen
2025	A*	`conf`	Deep Linear Probe Generators for Weight Space Learning. ICLR Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen
2025	J	`jnl`	Distilling Datasets Into Less Than One Image. Trans. Mach. Learn. Res. Asaf Shul, Eliahu Horwitz, Yedid Hoshen
2025	J	`jnl`	Enabling Users to Falsify Deepfake Attacks. Trans. Mach. Learn. Res. Tal Reiss, Bar Cavia, Yedid Hoshen
2025	A*	`conf`	Learning on Model Weights using Tree Experts. CVPR Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen
2025	—	`conf`	LightLab: Controlling Light Sources in Images with Diffusion Models. SIGGRAPH (Conference Paper Track) Nadav Magar, Amir Hertz, Eric Tabellion, Yael Pritch, Alex Rav-Acha, Ariel Shamir, Yedid Hoshen
2025	J	`jnl`	LightLab: Controlling Light Sources in Images with Diffusion Models. CoRR Nadav Magar, Amir Hertz, Eric Tabellion, Yael Pritch, Alex Rav-Acha, Ariel Shamir, Yedid Hoshen
2025	A*	`conf`	Unsupervised Model Tree Heritage Recovery. ICLR Eliahu Horwitz, Asaf Shul, Yedid Hoshen
2024	J	`jnl`	Classifying Nodes in Graphs without GNNs. CoRR Daniel Winter, Niv Cohen, Yedid Hoshen
2024	J	`jnl`	Dataset Size Recovery from LoRA Weights. CoRR Mohammad Salama, Jonathan Kahana, Eliahu Horwitz, Yedid Hoshen
2024	J	`jnl`	Deep Linear Probe Generators for Weight Space Learning. CoRR Jonathan Kahana, Eliahu Horwitz, Imri Shuval, Yedid Hoshen
2024	J	`jnl`	Distilling Datasets Into Less Than One Image. CoRR Asaf Shul, Eliahu Horwitz, Yedid Hoshen
2024	—	`conf`	From Zero to Hero: Cold-Start Anomaly Detection. ACL (Findings) Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
2024	J	`jnl`	From Zero to Hero: Cold-Start Anomaly Detection. CoRR Tal Reiss, George Kour, Naama Zwerdling, Ateret Anaby-Tavor, Yedid Hoshen
2024	—	`conf`	ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion. ECCV (77) Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen
2024	J	`jnl`	ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion. CoRR Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen
2024	J	`jnl`	ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation. CoRR Daniel Winter, Asaf Shul, Matan Cohen, Dana Berman, Yael Pritch, Alex Rav-Acha, Yedid Hoshen
2024	J	`jnl`	On the Origin of Llamas: Model Tree Heritage Recovery. CoRR Eliahu Horwitz, Asaf Shul, Yedid Hoshen
2024	J	`jnl`	Real-Time Deepfake Detection in the Real-World. CoRR Bar Cavia, Eliahu Horwitz, Tal Reiss, Yedid Hoshen
2024	A*	`conf`	Recovering the Pre-Fine-Tuning Weights of Generative Models. ICML Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen
2024	J	`jnl`	Recovering the Pre-Fine-Tuning Weights of Generative Models. CoRR Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen
2024	J	`jnl`	Representing Model Weights with Language using Tree Experts. CoRR Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid Hoshen
2024	J	`jnl`	Set Features for Anomaly Detection. Trans. Mach. Learn. Res. Niv Cohen, Issar Tzachor, Yedid Hoshen
2023	—	`conf`	Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection. CVPR Workshops Eliahu Horwitz, Yedid Hoshen
2023	J	`jnl`	Detecting Deepfakes Without Seeing Any. CoRR Tal Reiss, Bar Cavia, Yedid Hoshen
2023	J	`jnl`	Dreamix: Video Diffusion Models are General Video Editors. CoRR Eyal Molad, Eliahu Horwitz, Dani Valevski, Alex Rav-Acha, Yossi Matias, Yael Pritch, Yaniv Leviathan, Yedid Hoshen
2023	A*	`conf`	Mean-Shifted Contrastive Loss for Anomaly Detection. AAAI Tal Reiss, Yedid Hoshen
2023	J	`jnl`	No Free Lunch: The Hazards of Over-Expressive Representations in Anomaly Detection. CoRR Tal Reiss, Niv Cohen, Yedid Hoshen
2023	A*	`conf`	Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors. ICLR Niv Cohen, Jonathan Kahana, Yedid Hoshen
2023	J	`jnl`	Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge. CoRR Yedid Hoshen
2023	J	`jnl`	Set Features for Anomaly Detection. CoRR Niv Cohen, Issar Tzachor, Yedid Hoshen
2023	J	`jnl`	Set Features for Fine-grained Anomaly Detection. CoRR Niv Cohen, Issar Tzachor, Yedid Hoshen
2023	Misc	`conf`	Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels. ICASSP Tzeviya Sylvia Fuchs, Yedid Hoshen
2023	J	`jnl`	Unsupervised Word Segmentation Using Temporal Gradient Pseudo-Labels. CoRR Tzeviya Sylvia Fuchs, Yedid Hoshen
2022	—	`conf`	A Contrastive Objective for Learning Disentangled Representations. ECCV (26) Jonathan Kahana, Yedid Hoshen
2022	J	`jnl`	A Contrastive Objective for Learning Disentangled Representations. CoRR Jonathan Kahana, Yedid Hoshen
2022	J	`jnl`	An Empirical Investigation of 3D Anomaly Detection and Segmentation. CoRR Eliahu Horwitz, Yedid Hoshen
2022	—	`conf`	Anomaly Detection Requires Better Representations. ECCV Workshops (4) Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022	J	`jnl`	Anomaly Detection Requires Better Representations. CoRR Tal Reiss, Niv Cohen, Eliahu Horwitz, Ron Abutbul, Yedid Hoshen
2022	J	`jnl`	Attribute-based Representations for Accurate and Interpretable Video Anomaly Detection. CoRR Tal Reiss, Yedid Hoshen
2022	J	`jnl`	Conffusion: Confidence Intervals for Diffusion Models. CoRR Eliahu Horwitz, Yedid Hoshen
2022	J	`jnl`	Improving Zero-Shot Models with Label Distribution Priors. CoRR Jonathan Kahana, Niv Cohen, Yedid Hoshen
2022	—	`conf`	Open-Vocabulary Semantic Segmentation Using Test-Time Distillation. ECCV Workshops (2) Nir Zabari, Yedid Hoshen
2022	—	`conf`	Out-of-Distribution Detection Without Class Labels. ECCV Workshops (2) Niv Cohen, Ron Abutbul, Yedid Hoshen
2022	J	`jnl`	Red PANDA: Disambiguating Anomaly Detection by Removing Nuisance Factors. CoRR Niv Cohen, Jonathan Kahana, Yedid Hoshen
2022	A*	`conf`	The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. ICLR Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua
2022	J	`jnl`	Time Series Anomaly Detection by Cumulative Radon Features. CoRR Yedid Hoshen
2022	A	`conf`	Unsupervised Word Segmentation using K Nearest Neighbors. INTERSPEECH Tzeviya Fuchs, Yedid Hoshen, Yossi Keshet
2022	J	`jnl`	Unsupervised Word Segmentation using K Nearest Neighbors. CoRR Tzeviya Sylvia Fuchs, Yedid Hoshen, Joseph Keshet
2022	A	`conf`	You Say Factorization Machine, I Say Neural Network - It's All in the Activation. RecSys Chen Almagor, Yedid Hoshen
2021	A*	`conf`	An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild. NeurIPS Aviv Gabbay, Niv Cohen, Yedid Hoshen
2021	J	`jnl`	An Image is Worth More Than a Thousand Words: Towards Disentanglement in the Wild. CoRR Aviv Gabbay, Niv Cohen, Yedid Hoshen
2021	Misc	`conf`	Crypto-Oriented Neural Architecture Design. ICASSP Avital Shafran, Gil Segev, Shmuel Peleg, Yedid Hoshen
2021	A*	`conf`	Image Shape Manipulation from a Single Augmented Training Sample. ICCV Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
2021	J	`jnl`	Mean-Shifted Contrastive Loss for Anomaly Detection. CoRR Tal Reiss, Yedid Hoshen
2021	A*	`conf`	Membership Inference Attacks are Easier on Difficult Problems. ICCV Avital Shafran, Shmuel Peleg, Yedid Hoshen
2021	J	`jnl`	Out-of-Distribution Detection without Class Labels. CoRR Niv Cohen, Ron Abutbul, Yedid Hoshen
2021	A*	`conf`	PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation. CVPR Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
2021	J	`jnl`	Reconstruction-Based Membership Inference Attacks are Easier on Difficult Problems. CoRR Avital Shafran, Shmuel Peleg, Yedid Hoshen
2021	A*	`conf`	Scaling-up Disentanglement for Image Translation. ICCV Aviv Gabbay, Yedid Hoshen
2021	J	`jnl`	Scaling-up Disentanglement for Image Translation. CoRR Aviv Gabbay, Yedid Hoshen
2021	J	`jnl`	Semantic Segmentation In-the-Wild Without Seeing Any Segmentation Examples. CoRR Nir Zabari, Yedid Hoshen
2021	J	`jnl`	The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. CoRR Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua
2021	J	`jnl`	The Single-Noun Prior for Image Clustering. CoRR Niv Cohen, Yedid Hoshen
2020	A*	`conf`	Classification-Based Anomaly Detection for General Data. ICLR Liron Bergman, Yedid Hoshen
2020	J	`jnl`	Classification-Based Anomaly Detection for General Data. CoRR Liron Bergman, Yedid Hoshen
2020	J	`jnl`	Deep Nearest Neighbor Anomaly Detection. CoRR Liron Bergman, Niv Cohen, Yedid Hoshen
2020	J	`jnl`	Deep Single Image Manipulation. CoRR Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen
2020	A*	`conf`	Demystifying Inter-Class Disentanglement. ICLR Aviv Gabbay, Yedid Hoshen
2020	J	`jnl`	Improving Style-Content Disentanglement in Image-to-Image Translation. CoRR Aviv Gabbay, Yedid Hoshen
2020	J	`jnl`	PANDA - Adapting Pretrained Features for Anomaly Detection. CoRR Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen
2020	J	`jnl`	Sub-Image Anomaly Detection with Deep Pyramid Correspondences. CoRR Niv Cohen, Yedid Hoshen
2020	J	`jnl`	Training End-to-end Single Image Generators without GANs. CoRR Yael Vinker, Nir Zabari, Yedid Hoshen
2019	J	`jnl`	Crypto-Oriented Neural Architecture Design. CoRR Avital Shafran, Gil Segev, Shmuel Peleg, Yedid Hoshen
2019	J	`jnl`	Latent Optimization for Non-adversarial Representation Disentanglement. CoRR Aviv Gabbay, Yedid Hoshen
2019	A*	`conf`	Neural Separation of Observed and Unobserved Distributions. ICML Tavi Halperin, Ariel Ephrat, Yedid Hoshen
2019	A*	`conf`	Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. CVPR Yedid Hoshen, Ke Li, Jitendra Malik
2019	J	`jnl`	Style Generator Inversion for Image Enhancement and Animation. CoRR Aviv Gabbay, Yedid Hoshen
2019	Misc	`conf`	Towards Unsupervised Single-channel Blind Source Separation Using Adversarial Pair Unmix-and-remix. ICASSP Yedid Hoshen
2018	J	`jnl`	An Iterative Closest Point Method for Unsupervised Word Translation. CoRR Yedid Hoshen, Lior Wolf
2018	—	`conf`	Identifying Analogies Across Domains. ICLR (Poster) Yedid Hoshen, Lior Wolf
2018	—	`conf`	NAM - Unsupervised Cross-Domain Image Mapping without Cycles or GANs. ICLR (Workshop) Yedid Hoshen, Lior Wolf
2018	—	`conf`	NAM: Non-Adversarial Unsupervised Domain Mapping. ECCV (14) Yedid Hoshen, Lior Wolf
2018	J	`jnl`	NAM: Non-Adversarial Unsupervised Domain Mapping. CoRR Yedid Hoshen, Lior Wolf
2018	J	`jnl`	Neural separation of observed and unobserved distributions. CoRR Tavi Halperin, Ariel Ephrat, Yedid Hoshen
2018	J	`jnl`	Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors. CoRR Yedid Hoshen, Jitendra Malik
2018	A*	`conf`	Non-Adversarial Mapping with VAEs. NeurIPS Yedid Hoshen
2018	A*	`conf`	Non-Adversarial Unsupervised Word Translation. EMNLP Yedid Hoshen, Lior Wolf
2018	J	`jnl`	Power to peep-all: Inference Attacks by Malicious Batteries on Mobile Devices. Proc. Priv. Enhancing Technol. Pavel Lifshits, Roni Forte, Yedid Hoshen, Matt Halpern, Manuel Philipose, Mohit Tiwari, Mark Silberstein
2018	J	`jnl`	Towards Unsupervised Single-Channel Blind Source Separation using Adversarial Pair Unmix-and-Remix. CoRR Yedid Hoshen
2018	A*	`conf`	Unsupervised Correlation Analysis. CVPR Yedid Hoshen, Lior Wolf
2018	J	`jnl`	Unsupervised Correlation Analysis. CoRR Yedid Hoshen, Lior Wolf
2017	—	`conf`	VAIN: Attentional Multi-agent Predictive Modeling. NIPS Yedid Hoshen
2017	J	`jnl`	VAIN: Attentional Multi-agent Predictive Modeling. CoRR Yedid Hoshen
2016	A*	`conf`	An Egocentric Look at Video Photographer Identity. CVPR Yedid Hoshen, Shmuel Peleg
2016	A*	`conf`	Visual Learning of Arithmetic Operation. AAAI Yedid Hoshen, Shmuel Peleg
2015	—	`—`	Human-Centric Video Summarization (שער נוסף בעברית: תקצור וידאו מנקודת מבט אנושית.). Yedid Hoshen
2015	J	`jnl`	Live Video Synopsis for Multiple Cameras. CoRR Yedid Hoshen, Shmuel Peleg
2015	B	`conf`	Live video synopsis for multiple cameras. ICIP Yedid Hoshen, Shmuel Peleg
2015	Misc	`conf`	Speech acoustic modeling from raw multichannel waveforms. ICASSP Yedid Hoshen, Ron J. Weiss, Kevin W. Wilson
2015	A	`conf`	The Information in Temporal Histograms. WACV Yedid Hoshen, Shmuel Peleg
2015	J	`jnl`	Visual Learning of Arithmetic Operations. CoRR Yedid Hoshen, Shmuel Peleg
2014	J	`jnl`	Egocentric Video Biometrics. CoRR Yedid Hoshen, Shmuel Peleg
2014	—	`conf`	Wisdom of the Crowd in Egocentric Video Curation. CVPR Workshops Yedid Hoshen, Gil Ben-Artzi, Shmuel Peleg
2013	B	`conf`	Efficient representation of distributions for background subtraction. AVSS Yedid Hoshen, Chetan Arora, Yair Poleg, Shmuel Peleg