Saeed Khorram

According to our database, Saeed Khorram authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions.

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi, Mohamad H. Danesh, Fuxin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Comparing the Decision-Making Mechanisms by Transformers and CNNs via Explanation Methods.

Mingqi Jiang, Saeed Khorram, Fuxin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Diverse Explanations for Object Detectors with Nesterov-Accelerated iGOS++.

Mingqi Jiang, Saeed Khorram, Fuxin Li

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Examining the Difference Among Transformers and CNNs with Explanation Methods.

Mingqi Jiang, Saeed Khorram, Fuxin Li

CoRR, 2022

Cycle-Consistent Counterfactuals by Latent Transformations.

Saeed Khorram, Fuxin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

From Heatmaps to Structural Explanations of Image Classifiers.

Fuxin Li, Zhongang Qi, Saeed Khorram, Vivswan Shitole, Prasad Tadepalli, Minsuk Kahng, Alan Fern

CoRR, 2021

Stochastic Block-ADMM for Training Deep Networks.

Saeed Khorram, Xiao Fu, Mohamad H. Danesh, Zhongang Qi, Fuxin Li

CoRR, 2021

Embedding deep networks into visual explanations.

Zhongang Qi, Saeed Khorram, Fuxin Li

Artif. Intell., 2021

Re-understanding Finite-State Representations of Recurrent Policy Networks.

Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram

Proceedings of the 38th International Conference on Machine Learning, 2021

iGOS++: integrated gradient optimized saliency by bilateral perturbations.

Saeed Khorram, Tyler Lawson, Fuxin Li

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

2020

Understanding Finite-State Representations of Recurrent Policy Networks.

Mohamad H. Danesh, Anurag Koul, Alan Fern, Saeed Khorram

CoRR, 2020

Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features.

Mohamadreza Jafaryani, Saeed Khorram, Vahid Pourahmadi, Minoo Shahbazi

CoRR, 2020

Visualizing Deep Networks by Optimizing with Integrated Gradients.

Zhongang Qi, Saeed Khorram, Fuxin Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020