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Adel Bibi

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No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance

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Apr 08, 2024
Vishaal Udandarao, Ameya Prabhu, Adhiraj Ghosh, Yash Sharma, Philip H. S. Torr, Adel Bibi, Samuel Albanie, Matthias Bethge

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On Pretraining Data Diversity for Self-Supervised Learning

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Mar 20, 2024
Hasan Abed Al Kader Hammoud, Tuhin Das, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem

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Lifelong Benchmarks: Efficient Model Evaluation in an Era of Rapid Progress

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Feb 29, 2024
Ameya Prabhu, Vishaal Udandarao, Philip Torr, Matthias Bethge, Adel Bibi, Samuel Albanie

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Prompting a Pretrained Transformer Can Be a Universal Approximator

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Feb 22, 2024
Aleksandar Petrov, Philip H. S. Torr, Adel Bibi

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Can Large Language Model Agents Simulate Human Trust Behaviors?

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Feb 07, 2024
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li

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SynthCLIP: Are We Ready for a Fully Synthetic CLIP Training?

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Feb 02, 2024
Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem

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Label Delay in Continual Learning

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Dec 01, 2023
Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip Torr, Adel Bibi

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From Categories to Classifier: Name-Only Continual Learning by Exploring the Web

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Nov 19, 2023
Ameya Prabhu, Hasan Abed Al Kader Hammoud, Ser-Nam Lim, Bernard Ghanem, Philip H. S. Torr, Adel Bibi

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When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

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Oct 30, 2023
Aleksandar Petrov, Philip H. S. Torr, Adel Bibi

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Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation

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Oct 23, 2023
Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania

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