Ibrahim M. Alabdulmohsin

32 papers A* 13A 3B 2C 1Journal 10Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Fractal Patterns May Illuminate the Success of Next-Token Prediction. NeurIPS Ibrahim M. Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
2024	A*	`conf`	LocCa: Visual Pretraining with Location-aware Captioners. NeurIPS Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim M. Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai
2024	A*	`conf`	No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models. NeurIPS Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Steiner, Xiaohua Zhai, Ibrahim M. Alabdulmohsin
2023	A*	`conf`	Getting ViT in Shape: Scaling Laws for Compute-Optimal Model Design. NeurIPS Ibrahim M. Alabdulmohsin, Xiaohua Zhai, Alexander Kolesnikov, Lucas Beyer
2023	A*	`conf`	Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution. NeurIPS 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
2022	A*	`conf`	A Reduction to Binary Approach for Debiasing Multiclass Datasets. NeurIPS Ibrahim M. Alabdulmohsin, Jessica Schrouff, Sanmi Koyejo
2022	A*	`conf`	Diagnosing failures of fairness transfer across distribution shift in real-world medical settings. NeurIPS 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
2022	A*	`conf`	Fair Wrapping for Black-box Predictions. NeurIPS Alexander Soen, Ibrahim M. Alabdulmohsin, Sanmi Koyejo, Yishay Mansour, Nyalleng Moorosi, Richard Nock, Ke Sun, Lexing Xie
2022	A*	`conf`	Revisiting Neural Scaling Laws in Language and Vision. NeurIPS Ibrahim M. Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai
2021	J	`jnl`	A Generalization of Classical Formulas in Numerical Integration and Series Convergence Acceleration. CoRR Ibrahim M. Alabdulmohsin
2021	J	`jnl`	A Generalized Lottery Ticket Hypothesis. CoRR Ibrahim M. Alabdulmohsin, Larisa Markeeva, Daniel Keysers, Ilya O. Tolstikhin
2021	A*	`conf`	A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models. NeurIPS Ibrahim M. Alabdulmohsin, Mario Lucic
2021	J	`jnl`	A Near-Optimal Algorithm for Debiasing Trained Machine Learning Models. CoRR Ibrahim M. Alabdulmohsin, Mario Lucic
2021	J	`jnl`	The Impact of Reinitialization on Generalization in Convolutional Neural Networks. CoRR Ibrahim M. Alabdulmohsin, Hartmut Maennel, Daniel Keysers
2020	J	`jnl`	Fair Classification via Unconstrained Optimization. CoRR Ibrahim M. Alabdulmohsin
2020	J	`jnl`	Towards a Unified Theory of Learning and Information. Entropy Ibrahim M. Alabdulmohsin
2020	A*	`conf`	What Do Neural Networks Learn When Trained With Random Labels? NeurIPS Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
2020	J	`jnl`	What Do Neural Networks Learn When Trained With Random Labels? CoRR Hartmut Maennel, Ibrahim M. Alabdulmohsin, Ilya O. Tolstikhin, Robert J. N. Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
2018	—	`conf`	Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure. ECML/PKDD (1) Ibrahim M. Alabdulmohsin
2018	A*	`conf`	Information Theoretic Guarantees for Empirical Risk Minimization with Applications to Model Selection and Large-Scale Optimization. ICML Ibrahim M. Alabdulmohsin
2017	A	`conf`	An Information-Theoretic Route from Generalization in Expectation to Generalization in Probability. AISTATS Ibrahim M. Alabdulmohsin
2016	A	`conf`	Content-Agnostic Malware Detection in Heterogeneous Malicious Distribution Graph. CIKM Ibrahim M. Alabdulmohsin, Yufei Han, Yun Shen, Xiangliang Zhang
2016	—	`conf`	Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? ECML/PKDD (1) Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xiangliang Zhang
2016	J	`jnl`	Large margin classification with indefinite similarities. Mach. Learn. Ibrahim M. Alabdulmohsin, Moustapha Cissé, Xin Gao, Xiangliang Zhang
2016	J	`jnl`	Uniform Generalization, Concentration, and Adaptive Learning. CoRR Ibrahim M. Alabdulmohsin
2015	—	`conf`	Algorithmic Stability and Uniform Generalization. NIPS Ibrahim M. Alabdulmohsin
2015	A*	`conf`	Efficient Active Learning of Halfspaces via Query Synthesis. AAAI Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
2014	J	`jnl`	A Mathematical Theory of Learning. CoRR Ibrahim M. Alabdulmohsin
2014	A	`conf`	Adding Robustness to Support Vector Machines Against Adversarial Reverse Engineering. CIKM Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang
2014	B	`conf`	End-to-end delay analysis in wireless sensor networks with service vacation. WCNC Ibrahim M. Alabdulmohsin, Amal Hyadi, Laila H. Afify, Basem Shihada
2014	B	`conf`	Interference in wireless ad hoc networks with smart antennas. IWCMC Ibrahim M. Alabdulmohsin
2014	C	`conf`	Support vector machines with indefinite kernels. ACML Ibrahim M. Alabdulmohsin, Xin Gao, Xiangliang Zhang