Ismail Ben Ayed

Negative Evidence Matters in Interpretable Histology Image Classification

2022 · arXiv (Cornell University)

Using only global image-class labels, weakly-supervised learning methods, such as class activation mapping, allow training CNNs to jointly classify an image, and locate regions of interest associated with the predicted class. However, without any guidance …

Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty

2020 · arXiv (Cornell University)

Weakly-supervised learning (WSL) has recently triggered substantial interest as it mitigates the lack of pixel-wise annotations. Given global image labels, WSL methods yield pixel-level predictions (segmentations), which enable to interpret class predictions. Despite their recent …

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models

2023

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan, Ismail Ayed, Pablo Piantanida. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.