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Omer Belhasin

2 accepted papers

2026

Advancing Image Classification with Discrete Diffusion Classification Modeling

CVPR 2026

Image classification is a well-studied task in computer vision, and yet it remains challenging under high-uncertainty conditions, such as when input images are corrupted or training data are limited. Conventional classification approaches typically train models to directly predict class labels from

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2022

TransBoost: Improving the Best ImageNet Performance using Deep Transduction

NeurIPS 2022accept

This paper deals with deep transductive learning, and proposes TransBoost as a procedure for fine-tuning any deep neural model to improve its performance on any (unlabeled) test set provided at training time. TransBoost is inspired by a large margin principle and is efficient and simple to use. Our…