Bort: Towards Explainable Neural Networks with Bounded Orthogonal
Constraint

Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint

18 December 2022

Jie Zhou

Papers citing "Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint"

8 / 8 papers shown

Title
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 50 0 0 15 Feb 2025
SWEA: Updating Factual Knowledge in Large Language Models via Subject Word Embedding Altering Xiaopeng Li Shasha Li Shezheng Song Huijun Liu Bing Ji ... Jun Ma Jie Yu Xiaodong Liu Jing Wang Weimin Zhang KELM 24 3 0 31 Jan 2024
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer Boan Liu Liang Ding Li Shen Keqin Peng Yu Cao Dazhao Cheng Dacheng Tao MoE 18 7 0 15 Oct 2023
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 31 31 0 16 Sep 2022
GlanceNets: Interpretabile, Leak-proof Concept-based Models Emanuele Marconato Andrea Passerini Stefano Teso 96 64 0 31 May 2022
Orthogonal Stochastic Configuration Networks with Adaptive Construction Parameter for Data Analytics Wei Dai Chuanfeng Ning Shiyu Pei Song Zhu Xuesong Wang 8 2 0 26 May 2022
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 18 23 0 09 Nov 2021
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 228 2,231 0 24 Jun 2017