Ibrahim M. Alabdulmohsin
Artificial Intelligence · 2016–2025
A researcher in the Science corpus: 6 papers; trusts 264 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 156 citations into it
- Computer Vision and Pattern Recognition — 152 citations into it
- Representation & Self-Supervised Learning — 21 citations into it
- Scaling & Learning Theory — 14 citations into it
- Optimization & Training — 10 citations into it
- Radiology, Nuclear Medicine and Imaging — 9 citations into it
- Media Technology — 6 citations into it
Whom Ibrahim M. Alabdulmohsin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Kaiming He
- Li Fei-Fei
- Yann LeCun
- Richard Socher
- Jimmy Ba
- Ilya Sutskever
Who trusts Ibrahim M. Alabdulmohsin overall
Papers from Ibrahim M. Alabdulmohsin's perspective
Ordered by how strongly the researchers Ibrahim M. Alabdulmohsin trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Scaling Vision Transformers to 22 Billion Parameters (2023) — 911 citations
- PaLI-X: On Scaling up a Multilingual Vision and Language Model (2023) — 301 citations
- Revisiting Neural Scaling Laws in Language and Vision (2022) — 168 citations
- Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? (2016) — 8 citations
- SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features (2025) — 1,063 citations
- PaliGemma: A versatile 3B VLM for transfer (2024) — 728 citations