no code implementations • 7 Apr 2024 • Jan Held, Hani Itani, Anthony Cioppa, Silvio Giancola, Bernard Ghanem, Marc Van Droogenbroeck
The rapid advancement of artificial intelligence has led to significant improvements in automated decision-making.
1 code implementation • 2 Feb 2024 • Hasan Abed Al Kader Hammoud, Hani Itani, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem
We present SynthCLIP, a novel framework for training CLIP models with entirely synthetic text-image pairs, significantly departing from previous methods relying on real data.
1 code implementation • 10 Apr 2023 • Motasem Alfarra, Hani Itani, Alejandro Pardo, Shyma Alhuwaider, Merey Ramazanova, Juan C. Pérez, Zhipeng Cai, Matthias Müller, Bernard Ghanem
To address this issue, we propose a more realistic evaluation protocol for TTA methods, where data is received in an online fashion from a constant-speed data stream, thereby accounting for the method's adaptation speed.
2 code implementations • NeurIPS 2023 • Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem
Our contributions include introducing a novel communicative agent framework, offering a scalable approach for studying the cooperative behaviors and capabilities of multi-agent systems, and open-sourcing our library to support research on communicative agents and beyond: https://github. com/camel-ai/camel.
no code implementations • 29 Dec 2020 • Hani Itani, Silvio Giancola, Ali Thabet, Bernard Ghanem
Since it is learnable, this mapping is allowed to be different per layer instead of being applied uniformly throughout the depth of the network.
no code implementations • CVPR 2017 • Adel Bibi, Hani Itani, Bernard Ghanem
Since all operations in our FFTLasso method are element-wise, the subproblems are completely independent and can be trivially parallelized (e. g. on a GPU).