Yedid Hoshen
28 papers · 2016–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (45) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(10)
π
Grand Slam
π
Keyword Champion
(2)
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(117)
π₯
Unstoppable Β· Silver
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Renaissance Researcher
(6)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(20)
Core Methods
(15)
Deep Learning
(14)
Learning Types Β· Machine Learning
(14)
Artificial Intelligence
(11)
Computer Vision
(9)
Core AI
(9)
Models
(8)
Learning Types Β· Deep Learning
(7)
Analysis
(5)
Application Areas
(4)
Generation
(3)
Techniques
(3)
Natural Language Processing
(2)
Applications
(2)
Keywords
unsupervised learning
(7)
anomaly detection
(4)
generative model
(3)
representation learning
(3)
self-supervised learning
(3)
pretrained feature
(2)
neural network
(2)
cross-domain mapping
(2)
contrastive learning
(2)
latent optimization
(2)
variational autoencoder
(2)
image manipulation
(2)
image translation
(2)
feature learning
(2)
adversarial training
(2)
generative adversarial network
(2)
model weight
(2)
disentangled representation
(2)
domain adaptation
(2)
attention mechanism
(1)
Papers
Deep Linear Probe Generators for Weight Space Learning
ICLR 2025
Learning on Model Weights using Tree Experts
CVPR 2025
ObjectMate: A Recurrence Prior for Object Insertion and Subject-Driven Generation
ICCV 2025
Unsupervised Model Tree Heritage Recovery
ICLR 2025
From Zero to Hero: Cold-Start Anomaly Detection
ACL 2024
ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion
ECCV 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
A Contrastive Objective for Learning Disentangled Representations
ECCV 2022
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
ICLR 2022
Unsupervised Word Segmentation using K Nearest Neighbors
Interspeech 2022
An Image is Worth More Than a Thousand Words: Towards Disentanglement in The Wild
NeurIPS 2021
Image Shape Manipulation From a Single Augmented Training Sample
ICCV 2021
Membership Inference Attacks Are Easier on Difficult Problems
ICCV 2021
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
CVPR 2021
Scaling-Up Disentanglement for Image Translation
ICCV 2021
Classification-Based Anomaly Detection for General Data
ICLR 2020
Demystifying Inter-Class Disentanglement
ICLR 2020
Neural Separation of Observed and Unobserved Distributions
ICML 2019
Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors
CVPR 2019
Identifying Analogies Across Domains
ICLR 2018
NAM: Non-Adversarial Unsupervised Domain Mapping
ECCV 2018
Non-Adversarial Mapping with VAEs
NeurIPS 2018
Non-Adversarial Unsupervised Word Translation
EMNLP 2018
Unsupervised Correlation Analysis
CVPR 2018
VAIN: Attentional Multi-agent Predictive Modeling
NeurIPS 2017
An Egocentric Look at Video Photographer Identity
CVPR 2016