21 citations · 173 across the 53 of their papers we have counts for
6 papers · 1 filter
Neural Network Memorization Dissection
Jindong Gu, Volker Tresp
Deep neural networks (DNNs) can easily fit a random labeling of the training data with zero training error. What is the difference between DNNs trained with random labels and the o…
Improving the Robustness of Capsule Networks to Image Affine Transformations
Jindong Gu, Volker Tresp
Convolutional neural networks (CNNs) achieve translational invariance by using pooling operations. However, the operations do not preserve the spatial relationships in the learned…
Semantics for Global and Local Interpretation of Deep Neural Networks
Jindong Gu, Volker Tresp
Deep neural networks (DNNs) with high expressiveness have achieved state-of-the-art performance in many tasks. However, their distributed feature representations are difficult to i…
Contextual Prediction Difference Analysis for Explaining Individual Image Classifications
Jindong Gu, Volker Tresp
Much effort has been devoted to understanding the decisions of deep neural networks in recent years. A number of model-aware saliency methods were proposed to explain individual cl…
Understanding Bias in Machine Learning
Jindong Gu, Daniela Oelke
Bias is known to be an impediment to fair decisions in many domains such as human resources, the public sector, health care etc. Recently, hope has been expressed that the use of m…
Saliency Methods for Explaining Adversarial Attacks
Jindong Gu, Volker Tresp
The classification decisions of neural networks can be misled by small imperceptible perturbations. This work aims to explain the misled classifications using saliency methods. The…