activity
20202023
most citedDiscovering and Explaining the Representation Bottleneck of DNNs

16 citations · 31 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2023

Explaining How a Neural Network Play the Go Game and Let People Learn

Huilin Zhou, Huijie Tang, Mingjie Li +3

The AI model has surpassed human players in the game of Go, and it is widely believed that the AI model has encoded new knowledge about the Go game beyond human players. In this wa…

cs.LG2023★ 3 cited

Explaining Generalization Power of a DNN Using Interactive Concepts

Huilin Zhou, Hao Zhang, Huiqi Deng +4

This paper explains the generalization power of a deep neural network (DNN) from the perspective of interactions. Although there is no universally accepted definition of the concep…

cs.LG2021★ 16 cited

Discovering and Explaining the Representation Bottleneck of DNNs

Huiqi Deng, Qihan Ren, Hao Zhang +1

This paper explores the bottleneck of feature representations of deep neural networks (DNNs), from the perspective of the complexity of interactions between input variables encoded…

cs.LG2021

Interpreting Attributions and Interactions of Adversarial Attacks

Xin Wang, Shuyun Lin, Hao Zhang +2

This paper aims to explain adversarial attacks in terms of how adversarial perturbations contribute to the attacking task. We estimate attributions of different image regions to th…

cs.LG2021★ 2 cited

Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI

Quanshi Zhang, Tian Han, Lixin Fan +5

This is the Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. Deep neural networks (DNNs) have undoubtedly brought grea…

cs.LG2020★ 7 cited

Technical Note: Game-Theoretic Interactions of Different Orders

Hao Zhang, Xu Cheng, Yiting Chen +1

In this study, we define interaction components of different orders between two input variables based on game theory. We further prove that interaction components of different orde…

cs.LG2020★ 3 cited

Interpreting Multivariate Shapley Interactions in DNNs

Hao Zhang, Yichen Xie, Longjie Zheng +2

This paper aims to explain deep neural networks (DNNs) from the perspective of multivariate interactions. In this paper, we define and quantify the significance of interactions amo…