Individual differences among deep neural network models

pytorch-grad-cam

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

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

Zoom In: An Introduction to Circuits

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

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