Yedid Hoshen
28 papers · 2016–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (8) π Academic Marathon (9) π Conference Polyglot (10) πΊοΈ Taxonomy Completionist (39)
πΊοΈ
Taxonomy Completionist
(39)
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Keyword Pioneer
π£
Hot Topic Early Bird
π
Grand Slam
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Keyword Champion
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Century Club
(28)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(92)
π₯
Unstoppable
(10)
π
Trend Setter
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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
Research topics
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