Ido Galil
6 papers · 2021–2025 · 4 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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π Interdisciplinary Bridge Β· Silver π Conference Polyglot Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π₯ Mega-Team Β· Squad
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Trend Setter
Venues
Top co-authors
Research topics
Deep Learning
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Machine Learning
(3)
Core AI
(3)
Analysis
(2)
Application Areas
(2)
Learning Types
(2)
Natural Language Processing
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Models
(1)
Optimization & Theory Β· Machine Learning
(1)
Optimization & Theory Β· Deep Learning
(1)
Keywords
uncertainty estimation
(3)
knowledge distillation
(2)
selective classification
(2)
image classification
(2)
mixed integer programming
(1)
selective prediction
(1)
adversarial attack
(1)
diffusion model
(1)
deep neural network
(1)
out-of-distribution detection
(1)
text-to-image model
(1)
zero-shot detection
(1)
benchmark framework
(1)
token representation
(1)
padding token
(1)
softmax score
(1)
risk sensitive
(1)
benchmark accuracies
(1)
blockwise local knowledge distillation
(1)
inference throughput speedup
(1)
Papers
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models
NAACL 2025
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
ICML 2025
Hierarchical Selective Classification
NeurIPS 2024
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
ICLR 2023
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
ICLR 2023
Disrupting Deep Uncertainty Estimation Without Harming Accuracy
NeurIPS 2021