Mark Ibrahim
15 papers · 2021–2025 · 4 venues · across top CS/AI venues
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domain generalization
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computer vision
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self-supervised learning
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image generation
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vision transformer
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Papers
X-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
ICLR 2025
Discovering Environments with XRM
ICML 2024
Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
ICLR 2024
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
ICML 2024
The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
NeurIPS 2024
UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
NeurIPS 2024
A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
CVPR 2023
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
NeurIPS 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support
ICLR 2023
Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
NeurIPS 2023
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
ICLR 2023
PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
NeurIPS 2023
Understanding the detrimental class-level effects of data augmentation
NeurIPS 2023
CrypTen: Secure Multi-Party Computation Meets Machine Learning
NeurIPS 2021
Grounding inductive biases in natural images: invariance stems from variations in data
NeurIPS 2021