← Authors

Yedid Hoshen

28 papers · 2016–2025 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (9) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (39) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ† Grand Slam πŸ† Keyword Champion πŸ’Ž Century Club (28) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (92) πŸ”₯ Unstoppable (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

ICLR (7) CVPR (5) ICCV (4) ECCV (3) NIPS (3) ICML (2) AAAI (1) ACL (1) EMNLP (1) INTERSPEECH (1)

Top co-authors

Eliahu Horwitz (5) Jonathan Kahana (5) Lior Wolf (4) Tal Reiss (3) Niv Cohen (3) Aviv Gabbay (3) Alex Rav-Acha (2) Asaf Shul (2) Liron Bergman (2) Shmuel Peleg (2)

Research topics

Privacy (1)

Keywords

unsupervised learning (5) generative model (3) self-supervised learning (3) domain adaptation (2) contrastive learning (2) adversarial training (2) variational auto-encoder (2) disentangled representation (2) image manipulation (2) representation learning (2) image translation (2) variational autoencoder (2) anomaly detection (2) cross-lingual embedding (1) data augmentation (1) signal separation (1) attention mechanism (1) image generation (1) video analysis (1) source separation (1)

Papers

Learning on Model Weights using Tree Experts CVPR 2025
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation ICCV 2025
Deep Linear Probe Generators for Weight Space Learning ICLR 2025
Unsupervised Model Tree Heritage Recovery ICLR 2025
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion ECCV 2024
From Zero to Hero: Cold-Start Anomaly Detection ACL 2024
Recovering the Pre-Fine-Tuning Weights of Generative Models ICML 2024
Mean-Shifted Contrastive Loss for Anomaly Detection AAAI 2023
Red PANDA: Disambiguating Image Anomaly Detection by Removing Nuisance Factors ICLR 2023
Unsupervised Word Segmentation using K Nearest Neighbors INTERSPEECH 2022
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design ICLR 2022
A Contrastive Objective for Learning Disentangled Representations ECCV 2022
Scaling-Up Disentanglement for Image Translation ICCV 2021
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild NIPS 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation CVPR 2021
Membership Inference Attacks Are Easier on Difficult Problems ICCV 2021
Image Shape Manipulation From a Single Augmented Training Sample ICCV 2021
Demystifying Inter-Class Disentanglement ICLR 2020
Classification-Based Anomaly Detection for General Data ICLR 2020
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors CVPR 2019
Neural Separation of Observed and Unobserved Distributions ICML 2019
Unsupervised Correlation Analysis CVPR 2018
Non-Adversarial Mapping with VAEs NIPS 2018
Identifying Analogies Across Domains ICLR 2018
Non-Adversarial Unsupervised Word Translation EMNLP 2018
NAM: Non-Adversarial Unsupervised Domain Mapping ECCV 2018
VAIN: Attentional Multi-agent Predictive Modeling NIPS 2017
An Egocentric Look at Video Photographer Identity CVPR 2016