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Ibrahim, Mark

  1. A Cookbook of Self-Supervised Learning
    2023/04/24 by Randall Balestriero, Balestriero, Randall, Mark Ibrahim +36 · 2 voices · 33 citations
    Computer Science · #Machine Learning and Data Classification
  2. AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions
    2025/06/10 by Polina Kirichenko, Kirichenko, Polina, Mark Ibrahim +5 · 5 voices · 26 citations
    Computer Science · #cs.AI
  3. 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)
  4. CrypTen: Secure Multi-Party Computation Meets Machine Learning
    2021/09/02 by Brian Knott, Shobha Venkataraman, Knott, Brian +9 · 19 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
  5. The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
    2024/06/07 by Ouail Kitouni, O. Kitouni, N. S. 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
  6. A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
    2022/12/09 by Li, Zhiheng, Evtimov, Ivan, Gordo, Albert +5 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  7. Modeling Caption Diversity in Contrastive Vision-Language Pretraining
    2024/04/30 by Samuel Lavoie, Polina Kirichenko, Lavoie, Samuel +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. Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
    2024/04/16 by Tomani, Christian, Chaudhuri, Kamalika, Evtimov, Ivan +2 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  10. A Single Character can Make or Break Your LLM Evals
    2025/10/02 by Jingtong Su, Su, Jingtong, Jianyu Zhang +7 · 3 voices · 3 citations
    Social Sciences · #Artificial Intelligence in Law #cs.AI #cs.CL
  11. 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
  12. VPA: Fully Test-Time Visual Prompt Adaptation
    2023/09/26 by Jiachen Sun, Mark Ibrahim, Sun, Jiachen +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
  13. Disentanglement of Correlated Factors via Hausdorff Factorized Support
    2022/10/13 by Karsten Roth, Roth, Karsten, Mark Ibrahim +7 · 3 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #AI in cancer detection #Digital Imaging for Blood Diseases
  14. PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning
    2023/08/08 by Florian Bordes, Bordes, Florian, Shashank Shekhar +9 · 3 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)
  15. WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models
    2023/11/27 by Y. Benchekroun, Benchekroun, Youssef, Megi Dervishi +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
  16. 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
  17. The Bias of Harmful Label Associations in Vision-Language Models
    2024/02/11 by Caner Hazırbaş, Hazirbas, Caner, Alicia Sun +5 · 3 citations
    Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Religion and Sociopolitical Dynamics in Nigeria
  18. Discovering environments with XRM
    2023/09/28 by Pezeshki, Mohammad, Bouchacourt, Diane, Ibrahim, Mark +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
    2023/11/15 by Cian Eastwood, Julius von Kügelgen, Eastwood, Cian +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)
  20. \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
  21. RidgeSketch: A Fast sketching based solver for large scale ridge regression
    2021/05/12 by Gazagnadou, Nidham, Ibrahim, Mark, Gower, Robert M. · 1 citation
    #62J07 #65K10 #65Y20 #68T99 #68W20 #90C06 #FOS: Mathematics #Optimization and Control (math.OC)
  22. Global Explanations of Neural Networks: Mapping the Landscape of Predictions
    2019/02/06 by Ibrahim, Mark, Louie, Melissa, Modarres, Ceena +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. Joint Embedding vs Reconstruction: Provable Benefits of Latent Space Prediction for Self Supervised Learning
    2025/05/18 by Van Assel, Hugues, Ibrahim, Mark, Biancalani, Tommaso +2 · 3 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  24. 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
  25. 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
  26. 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