Idan Achituve
11 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (15)
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Hot Topic Early Bird
π
Conference Polyglot
(6)
π
Triple Crown
π
Keyword Champion
(2)
π₯
Unstoppable
(5)
π
Century Club
(11)
Conferences
ICML (5)
NIPS (2)
ECCV (1)
ICLR (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
deep kernel learning
(3)
uncertainty estimation
(2)
gaussian process
(2)
bayesian inference
(2)
variational inference
(1)
domain adaptation
(1)
ensemble learning
(1)
game theory
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
knowledge distillation
(1)
point cloud
(1)
incremental learning
(1)
gradient optimization
(1)
implicit neural representation
(1)
parameter update
(1)
multilayer perceptron
(1)
equivariant architecture
(1)
3d perception
(1)
inducing point
(1)
Papers
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
NIPS 2022
Multi-Task Learning as a Bargaining Game
ICML 2022
Self-Supervised Learning for Domain Adaptation on Point Clouds
WACV 2021
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
NIPS 2021