Publications

These projects were given to fellows while enrolled in Fatima Fellowship to increase their PhD-level research experience. All projects were worked on with a mentor (also provided by Fatima Fellowship).

• Hardware Resilience Properties of Text-Guided Image Classifiers

• Authors: Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud

• NeurIPS 2023

• Mentor: Abdulrahman Mahmoud

• SIRD: Symbolic Integration Rules Dataset

• Authors: Vaibhav Sharma, Abhinav Nagpal and Muhammed Fatih Balin

• NeurIPS 2023 Workshop

• Mentor: Muhammed Fatih Balin

• Metric-BasedIn-context Learning: A Case Study in Text Simplification

• Authors: Gözde Gül Şahin, Subhadra (Subha) Vadlamannati

• NeuralSpace

• Mentor: Gözde Gül Şahin

• Approximation Algorithms for Fair Range Clustering

• Authors: Sedjro Salomon Hotegni and Ali Vakilian

• ICML 2023

• Mentor: Ali Vakilian

• In What Languages are Generative Language Models the Most Formal? Analyzing Formality Distribution across Languages

• Authors: Asım Ersoy, Gerson Vizcarra, Tasmiah Tahsin Mayeesha, and Benjamin Muller

• EMNLP Findings 2023

• Mentor: Benjamin Muller

• Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

• Authors: Shadi Hamdan and Arfa Tabassum

• Transactions on Machine Learning Research, 2022

• Mentor: Abubakar Abid

• Clustering Plotted Data by Image Segmentation

• Authors: Tarek Naous and Srinjay Sarkar and Abubakar Abid

• IEEE\CVF CVPR 2022

• Mentor: Abubakar Abid

• Effective Prevention of Semantic Drift in Continual Deep Learning

• Authors: Khouloud Saadi, Muhammad Taimoor Khan

• IDEAL 2022

• Mentor: Muhammad Taimoor Khan