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Mark Ibrahim

  1. A Cookbook of Self-Supervised Learning
    2023/04/24 by Randall Balestriero, Mark Ibrahim, Balestriero, Randall +36 · 2 voices · 33 citations
    Computer Science · #Machine Learning and Data Classification
  2. Learning to Reason in 13 Parameters
    2026/02/04 by John X. Morris, Niloofar Mireshghallah, Mark Ibrahim +1 · 13 voices · 2 citations
    #cs.LG
  3. AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
    2025/06/10 by Polina Kirichenko, Kirichenko, Polina, Mark Ibrahim +5 · 5 voices · 27 citations
    Computer Science · #cs.AI
  4. An Introduction to Vision-Language Modeling
    2024/05/27 by Florian Bordes, Richard Yuanzhe Pang, Bordes, Florian +79 · 41 citations
    Social Sciences · #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG)
  5. CrypTen: Secure Multi-Party Computation Meets Machine Learning
    2021/09/02 by Brian Knott, Shobha Venkataraman, Knott, Brian +9 · 20 citations
    Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  6. The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
    2024/06/07 by O. Kitouni, Ouail Kitouni, Niklas Nolte +11 · 3 voices · 5 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Social Sciences · #Conflict of Laws and Jurisdiction #Congenital limb and hand anomalies #Law, AI, and Intellectual Property #cs.AI #cs.CL #cs.LG
  7. Modeling Caption Diversity in Contrastive Vision-Language Pretraining
    2024/04/30 by Samuel Lavoie, Lavoie, Samuel, Polina Kirichenko +11 · 2 voices · 10 citations
    #cs.CV #cs.AI #cs.CL #cs.LG
  8. Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
    2023/10/30 by Micah Goldblum, Hossein Souri, Goldblum, Micah +23 · 8 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  9. A Single Character can Make or Break Your LLM Evals
    2025/10/02 by Jingtong Su, Jianyu Zhang, Su, Jingtong +7 · 3 voices · 3 citations
    Social Sciences · #Artificial Intelligence in Law #cs.AI #cs.CL
  10. UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
    2024/08/09 by Haider Al-Tahan, Quentin Garrido, Al-Tahan, Haider +9 · 7 citations
    Engineering · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Language, Metaphor, and Cognition #Machine Learning (cs.LG) #Spatial Cognition and Navigation #Visual and Cognitive Learning Processes
  11. VPA: Fully Test-Time Visual Prompt Adaptation
    2023/09/26 by Jiachen Sun, Sun, Jiachen, Mark Ibrahim +11 · 5 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  12. PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
    2023/08/08 by Florian Bordes, Bordes, Florian, Shashank Shekhar +9 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG)
  13. Disentanglement of Correlated Factors via Hausdorff Factorized Support
    2022/10/13 by Karsten Roth, Mark Ibrahim, Roth, Karsten +7 · 3 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #AI in cancer detection #Digital Imaging for Blood Diseases
  14. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
    2023/11/27 by Y. Benchekroun, Megi Dervishi, Benchekroun, Youssef +17 · 4 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
  15. Transformers Can Navigate Mazes With Multi-Step Prediction
    2024/12/06 by Niklas Nolte, Ouail Kitouni, Nolte, Niklas +7 · 1 voice · 4 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
  16. The Bias of Harmful Label Associations in Vision-Language Models
    2024/02/11 by Caner Hazırbaş, Alicia Sun, Hazirbas, Caner +5 · 3 citations
    Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Religion and Sociopolitical Dynamics in Nigeria
  17. Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
    2023/11/15 by Cian Eastwood, Eastwood, Cian, Julius von Kügelgen +11 · 2 citations
    Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. \mathbbX-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
    2024/07/25 by Vlad Sobal, Mark Ibrahim, Sobal, Vlad +13 · 1 voice · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.CV #cs.LG
  19. ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
    2022/11/03 by Badr Youbi Idrissi, Idrissi, Badr Youbi, Diane Bouchacourt +17 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  20. Understanding the Detrimental Class-level Effects of Data Augmentation
    2023/12/07 by Polina Kirichenko, Kirichenko, Polina, Mark Ibrahim +11 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  21. Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?
    2023/07/24 by Megan Richards, Richards, Megan, Polina Kirichenko +5 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Remote-Sensing Image Classification
  22. EvalGIM: A Library for Evaluating Generative Image Models
    2024/12/13 by Melissa Hall, Oscar Mañas, Hall, Melissa +31 · 1 citation
    Computer Science · #Image Retrieval and Classification Techniques #Generative Adversarial Networks and Image Synthesis #Medical Image Segmentation Techniques