Compositional Explanations of Neurons

0 stars0 forks0 contributors

Overview

NeurIPS'20, 2020. [All Versions]. [Project]. A concept-composition version of network dissection

Related Projects

Community-curated · Updated weekly · 100% open source

Found a gem we're missing?

Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.

Submit a project Star on GitHub

Created

Links & Resources

Website

Included in

AGI & CoCoSci373

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Stars12,849

Forks1,705

Last commit16 days ago

Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation

NeurIPS'18, 2018. [All Versions]. Maching the learned pattern of neurons in different neural networks

Stars0

Forks0

Last commit

Zoom In: An Introduction to Circuits

Distill, 2020. [All Versions]. A perspective on treating neural networks as circuits

Stars0

Forks0

Last commit

Network dissection: Quantifying interpretability of deep visual representations

CVPR'17, 2017. [All Versions]. [Project]. [Dataset: Places365]. The original paper on visualizing the class activation maps to explain convolutional neural networks

Stars0

Forks0

Last commit