Understanding the Role of Individual Units in a Deep Neural Network

10 September 2020

Jun-Yan Zhu

Antonio Torralba

Papers citing "Understanding the Role of Individual Units in a Deep Neural Network"

31 / 81 papers shown

Title
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models Ashkan Khakzar Yawei Li Yang Zhang Mirac Sanisoglu Seong Tae Kim Mina Rezaei Bernd Bischl Nassir Navab 35 0 0 04 Apr 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 63 7 0 07 Feb 2022
Deeply Explain CNN via Hierarchical Decomposition Mingg-Ming Cheng Peng-Tao Jiang Linghao Han Liang Wang Philip Torr FAtt 53 15 0 23 Jan 2022
A Latent-Variable Model for Intrinsic Probing Karolina Stañczak Lucas Torroba Hennigen Adina Williams Ryan Cotterell Isabelle Augenstein 29 4 0 20 Jan 2022
Interpretable Low-Resource Legal Decision Making R. Bhambhoria Hui Liu Samuel Dahan Xiao-Dan Zhu ELM AILaw 37 9 0 01 Jan 2022
PCACE: A Statistical Approach to Ranking Neurons for CNN Interpretability Sílvia Casacuberta Esra Suel Seth Flaxman FAtt 21 1 0 31 Dec 2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review F. Giuste Wenqi Shi Yuanda Zhu Tarun Naren Monica Isgut Ying Sha L. Tong Mitali S. Gupte May D. Wang 33 73 0 23 Dec 2021
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 34 86 0 16 Dec 2021
GAM Changer: Editing Generalized Additive Models with Interactive Visualization Zijie J. Wang Alex Kale Harsha Nori P. Stella M. Nunnally Duen Horng Chau Mihaela Vorvoreanu Jennifer Wortman Vaughan R. Caruana KELM 19 24 0 06 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 66 114 0 06 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 186 89 0 02 Dec 2021
HyperInverter: Improving StyleGAN Inversion via Hypernetwork Tan M. Dinh Anh Tran Rang Nguyen Binh-Son Hua 38 116 0 01 Dec 2021
MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps Muhammad Awais Fengwei Zhou Chuanlong Xie Jiawei Li Sung-Ho Bae Zhenguo Li AAML 43 17 0 09 Nov 2021
Task Guided Compositional Representation Learning for ZDA Shuang Liu Mete Ozay OOD 27 0 0 13 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 39 11 0 09 Sep 2021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks Haekyu Park Nilaksh Das Rahul Duggal Austin P. Wright Omar Shaikh Fred Hohman Duen Horng Chau HAI 29 25 0 29 Aug 2021
Interpreting Face Inference Models using Hierarchical Network Dissection Divyang Teotia Àgata Lapedriza Sarah Ostadabbas CVBM 34 3 0 23 Aug 2021
Leveraging Sparse Linear Layers for Debuggable Deep Networks Eric Wong Shibani Santurkar A. Madry FAtt 22 88 0 11 May 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems Daniel Buschek Lukas Mecke Florian Lehmann Hai Dang 13 42 0 01 Apr 2021
Neuron Coverage-Guided Domain Generalization Chris Xing Tian Haoliang Li Xiaofei Xie Yang Liu Shiqi Wang 23 35 0 27 Feb 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 45 25 0 17 Feb 2021
Understanding Failures of Deep Networks via Robust Feature Extraction Sahil Singla Besmira Nushi S. Shah Ece Kamar Eric Horvitz FAtt 28 83 0 03 Dec 2020
FACEGAN: Facial Attribute Controllable rEenactment GAN S. Tripathy Arno Solin Esa Rahtu CVBM 29 42 0 09 Nov 2020
Role Taxonomy of Units in Deep Neural Networks Yang Zhao Hao Zhang Xiuyuan Hu 18 1 0 02 Nov 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 47 7 0 23 Oct 2020
Meta-trained agents implement Bayes-optimal agents Vladimir Mikulik Grégoire Delétang Tom McGrath Tim Genewein Miljan Martic Shane Legg Pedro A. Ortega OOD FedML 35 41 0 21 Oct 2020
Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Dataset Erico Tjoa Cuntai Guan XAI FAtt 19 27 0 07 Sep 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning Ignacio Serna Aythami Morales Julian Fierrez Manuel Cebrian Nick Obradovich Iyad Rahwan FaML CVBM 30 73 0 22 Apr 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
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 43 301 0 08 Jan 2020
Revisiting the Importance of Individual Units in CNNs via Ablation Bolei Zhou Yiyou Sun David Bau Antonio Torralba FAtt 59 115 0 07 Jun 2018