Idan Achituve
12 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Optimization & Theory
(6)
Deep Learning
(5)
Core Methods
(4)
Learning Paradigms
(4)
Learning Types
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Core AI
(3)
Computer Vision
(2)
Application Areas
(2)
Architectures
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Keywords
deep kernel learning
(3)
multi-task learning
(3)
gaussian process
(3)
bayesian inference
(3)
uncertainty quantification
(2)
representation learning
(2)
uncertainty estimation
(2)
few-shot learning
(2)
image restoration
(1)
self-supervised learning
(1)
domain adaptation
(1)
knowledge distillation
(1)
source-free domain adaptation
(1)
gradient aggregation
(1)
probability distribution
(1)
game theory
(1)
incremental learning
(1)
point cloud
(1)
ensemble learning
(1)
variational inference
(1)
Papers
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
Interspeech 2025
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
ICML 2025
Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning
ICML 2024
De-Confusing Pseudo-Labels in Source-Free Domain Adaptation
ECCV 2024
Equivariant Architectures for Learning in Deep Weight Spaces
ICML 2023
Guided Deep Kernel Learning
UAI 2023
Functional Ensemble Distillation
NeurIPS 2022
Multi-Task Learning as a Bargaining Game
ICML 2022
Auxiliary Learning by Implicit Differentiation
ICLR 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
ICML 2021
Personalized Federated Learning With Gaussian Processes
NeurIPS 2021
Self-Supervised Learning for Domain Adaptation on Point Clouds
WACV 2021