Ibrahim Alabdulmohsin
12 papers · 2014–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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The Questioner
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Research topics
Machine Learning
(10)
Artificial Intelligence
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Optimization & Theory
(5)
Deep Learning
(4)
Computer Vision
(2)
Natural Language Processing
(2)
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Resources & Methods
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Keywords
multimodal learning
(2)
vision-language model
(2)
learning theory
(2)
vision transformer
(2)
image captioning
(2)
model scaling
(2)
few-shot learning
(1)
visual question answering
(1)
causal inference
(1)
object detection
(1)
domain adaptation
(1)
in-context learning
(1)
language modeling
(1)
contrastive learning
(1)
kernel approximation
(1)
transfer learning
(1)
unsupervised domain adaptation
(1)
empirical risk minimization
(1)
vc dimension
(1)
model selection
(1)
Papers
A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?
ICML 2025
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
ICLR 2024
Fractal Patterns May Illuminate the Success of Next-Token Prediction
NeurIPS 2024
LocCa: Visual Pretraining with Location-aware Captioners
NeurIPS 2024
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models
NeurIPS 2024
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
Adapting to Latent Subgroup Shifts via Concepts and Proxies
AISTATS 2023
FlexiViT: One Model for All Patch Sizes
CVPR 2023
Scaling Vision Transformers to 22 Billion Parameters
ICML 2023
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization
ICML 2018
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability
AISTATS 2017
Support vector machines with indefinite kernels
ACML 2014