Ibrahim M. Alabdulmohsin

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 22

Top Topics

Axiomatic Characterization

Unconstrained Optimization

Top Venues

Publications

Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim M. Alabdulmohsin, Avital Oliver, Piotr Padlewski, Alexey A. Gritsenko, Mario Lucic, Neil Houlsby
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS (2023)
Ibrahim M. Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer
Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design. NeurIPS (2023)
Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
Fair Wrapping for Black-box Predictions. NeurIPS (2022)
Jessica Schrouff, Natalie Harris, Sanmi Koyejo, Ibrahim M. Alabdulmohsin, Eva Schnider, Krista Opsahl-Ong, Alexander Brown, Subhrajit Roy, Diana Mincu, Christina Chen, Awa Dieng, Yuan Liu, Vivek Natarajan, Alan Karthikesalingam, Katherine A. Heller, Silvia Chiappa, Alexander D'Amour
Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS (2022)
Ibrahim M. Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai
Revisiting Neural Scaling Laws in Language and Vision. NeurIPS (2022)
Ibrahim M. Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo
A Reduction to Binary Approach for Debiasing Multiclass Datasets. NeurIPS (2022)
Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers
The Impact of Reinitialization on Generalization in Convolutional Neural Networks. CoRR (2021)
Ibrahim M. Alabdulmohsin
A Generalization of Classical Formulas in Numerical Integration and Series Convergence Acceleration. CoRR (2021)
Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin
A Generalized Lottery Ticket Hypothesis. CoRR (2021)
Ibrahim M. Alabdulmohsin, Mario Lucic
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models. NeurIPS (2021)
Ibrahim M. Alabdulmohsin, Mario Lucic
A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models. CoRR (2021)
Ibrahim M. Alabdulmohsin
Fair Classification via Unconstrained Optimization. CoRR (2020)
Ibrahim M. Alabdulmohsin
Towards a Unified Theory of Learning and Information. Entropy 22 (4) (2020)
Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
What Do Neural Networks Learn When Trained With Random Labels? NeurIPS (2020)
Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
What Do Neural Networks Learn When Trained With Random Labels? CoRR (2020)
Ibrahim M. Alabdulmohsin
Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure. ECML/PKDD (1) (2018)
Ibrahim M. Alabdulmohsin
Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization. ICML (2018)
Ibrahim M. Alabdulmohsin
An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability. AISTATS (2017)
Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang
Large margin classification with indefinite similarities. Mach. Learn. 103 (2) (2016)
Ibrahim M. Alabdulmohsin
Uniform Generalization, Concentration, and Adaptive Learning. CoRR (2016)
Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang
Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) (2016)
Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang
Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. CIKM (2016)
Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
Efficient Active Learning of Halfspaces via Query Synthesis. AAAI (2015)
Ibrahim M. Alabdulmohsin
Algorithmic Stability and Uniform Generalization. NIPS (2015)
Ibrahim M. Alabdulmohsin, Amal Hyadi, Laila H. Afify, Basem Shihada
End-to-end delay analysis in wireless sensor networks with service vacation. WCNC (2014)
Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
Support vector machines with indefinite kernels. ACML (2014)
Ibrahim M. Alabdulmohsin
A Mathematical Theory of Learning. CoRR (2014)
Ibrahim M. Alabdulmohsin
Interference in wireless ad hoc networks with smart antennas. IWCMC (2014)
Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. CIKM (2014)