Visualizing deep networks by optimizing with integrated gradients Z Qi, S Khorram, F Li 2020 34th AAAI Conference on Artificial Intelligence, 2019 | 130 | 2019 |
Embedding deep networks into visual explanations Z Qi, S Khorram, F Li Artificial Intelligence (2020): 103435., 2020 | 36 | 2020 |
Cycle-consistent counterfactuals by latent transformations S Khorram, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 28 | 2022 |
Re-understanding finite-state representations of recurrent policy networks MH Danesh, A Koul, A Fern, S Khorram International Conference on Machine Learning, 2388-2397, 2021 | 23 | 2021 |
iGOS++ integrated gradient optimized saliency by bilateral perturbations S Khorram, T Lawson, L Fuxin Proceedings of the Conference on Health, Inference, and Learning, 174-182, 2021 | 18 | 2021 |
From heatmaps to structured explanations of image classifiers L Fuxin, Z Qi, S Khorram, V Shitole, P Tadepalli, M Kahng, A Fern Applied AI Letters 2 (4), e46, 2021 | 6 | 2021 |
Combined mRMR filter and sparse Bayesian classifier for analysis of gene expression data M Soltani, MH Shammakhi, S Khorram, H Sheikhzadeh 2016 2nd International Conference of Signal Processing and Intelligent …, 2016 | 5 | 2016 |
Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods M Jiang, S Khorram, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 2 | 2024 |
Stochastic block-admm for training deep networks S Khorram, X Fu, MH Danesh, Z Qi, L Fuxin arXiv preprint arXiv:2105.00339, 2021 | 2 | 2021 |
Examining the Difference Among Transformers and CNNs with Explanation Methods M Jiang, S Khorram, L Fuxin | 1 | 2022 |
Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions S Khorram, M Jiang, M Shahbazi, MH Danesh, L Fuxin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis S Khorram | | 2023 |
Diverse Explanations for Object Detectors with Nesterov-Accelerated iGOS++. M Jiang, S Khorram, F Li BMVC, 188-189, 2023 | | 2023 |
Toward Disentangling the Activations of the Deep Networks via Low-dimensional Embedding and Non-negative Factorization S Khorram | | 2020 |
Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features M Jafaryani, S Khorram, V Pourahmadi, M Shahbazi International Conference on New Research Achievements in Electrical and …, 2016 | | 2016 |