NeurIPS Improving the Fairness of Deep Chest X|ray Classifiers
Workshop: Medical Imaging Meets NeurIPS
... lung disease severity grading of chest X-rays using deep ... Recent deep learning based thoracic disease classification using X-Ray ...
Track: Poster Session 2 - NeurIPS 2024
... improving the performance of deep neural networks in areas ... classifiers, and to a deep reinforcement learning algorithm that lacks fairness guarantees.
Advances in Neural Information Processing Systems 36 (NeurIPS 2023) · Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational ...
Track: Poster Session 1 - NeurIPS 2024
... chest X-ray images. To develop our dataset, we first construct two uni-modal ... It has been well established that increasing scale in deep transformer networks ...
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
A more concerning example involves predicting pneumonia from chest X-ray scans. Hospitals from which training data is collected have differing rates of.
Explicit Tradeoffs between Adversarial and Natural Distributional ...
Several existing works study either adversarial or natural distributional robustness of deep neural networks separately. In practice, however, models need ...
Improved Regularization and Robustness for Fine-tuning in Neural ...
For the medical imaging task, we consider the ChestX-ray14 data set contains 112120 frontal-view chest X-ray ... detection on chest x-rays with deep learning.