How Important Is a Neuron?

30 May 2018

Papers citing "How Important Is a Neuron?"

27 / 27 papers shown

Title
Discovering Influential Neuron Path in Vision Transformers Yifan Wang Yifei Liu Yingdong Shi Chong Li Anqi Pang Sibei Yang Jingyi Yu Kan Ren ViT 69 0 0 12 Mar 2025
SRViT: Vision Transformers for Estimating Radar Reflectivity from Satellite Observations at Scale Jason Stock Kyle Hilburn Imme Ebert-Uphoff Charles Anderson 40 1 0 20 Jun 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 30 4 0 14 Mar 2024
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 39 7 0 02 May 2023
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Adapting to Non-Centered Languages for Zero-shot Multilingual Translation Zhi Qu Taro Watanabe 44 7 0 09 Sep 2022
Debiasing Deep Chest X-Ray Classifiers using Intra- and Post-processing Methods Ricards Marcinkevics Ece Ozkan Julia E. Vogt 19 18 0 26 Jul 2022
Visual Explanations from Deep Networks via Riemann-Stieltjes Integrated Gradient-based Localization Mirtha Lucas Miguel A. Lerma J. Furst D. Raicu FAtt 19 8 0 22 May 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 45 129 0 31 Mar 2022
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck Anirban Samaddar Sandeep Madireddy Prasanna Balaprakash Tapabrata Maiti Gustavo de los Campos Ian Fischer 18 1 0 04 Mar 2022
Identifying Suitable Tasks for Inductive Transfer Through the Analysis of Feature Attributions Alexander Pugantsov R. McCreadie 18 0 0 02 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip H. S. Torr FAtt 53 15 0 23 Jan 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 27 9 0 01 Jan 2022
TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models S. Chatterjee Arnab Das Chirag Mandal Budhaditya Mukhopadhyay Manish Vipinraj Aniruddh Shukla R. Rao Chompunuch Sarasaen Oliver Speck A. Nürnberger MedIm 37 14 0 16 Oct 2021
Cartoon Explanations of Image Classifiers Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok FAtt 38 14 0 07 Oct 2021
Neuron-level Interpretation of Deep NLP Models: A Survey Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 35 80 0 30 Aug 2021
Robust and Interpretable Temporal Convolution Network for Event Detection in Lung Sound Recordings Tharindu Fernando Sridha Sridharan Simon Denman H. Ghaemmaghami Clinton Fookes 33 27 0 30 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 29 64 0 24 Jun 2021
Explaining in Style: Training a GAN to explain a classifier in StyleSpace Oran Lang Yossi Gandelsman Michal Yarom Yoav Wald G. Elidan ... William T. Freeman Phillip Isola Amir Globerson Michal Irani Inbar Mosseri GAN 45 152 0 27 Apr 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 35 25 0 20 Mar 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 24 30 0 12 Feb 2021
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 28 119 0 03 Dec 2020
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 29 821 0 16 Sep 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 25 108 0 23 Feb 2020
From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction Hidenori Tanaka Aran Nayebi Niru Maheswaranathan Lane T. McIntosh S. Baccus Surya Ganguli FAtt 14 61 0 12 Dec 2019
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014