Evaluating the visualization of what a Deep Neural Network has learned

21 September 2015

Papers citing "Evaluating the visualization of what a Deep Neural Network has learned"

50 / 511 papers shown

Title
SCAAT: Improving Neural Network Interpretability via Saliency Constrained Adaptive Adversarial Training Rui Xu Wenkang Qin Peixiang Huang Hao Wang Lin Luo FAtt AAML 28 2 0 09 Nov 2023
Be Careful When Evaluating Explanations Regarding Ground Truth Hubert Baniecki Maciej Chrabaszcz Andreas Holzinger Bastian Pfeifer Anna Saranti P. Biecek FAtt AAML 46 3 0 08 Nov 2023
Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover XAI 42 11 0 03 Nov 2023
Understanding Parameter Saliency via Extreme Value Theory Shuo Wang Issei Sato AAML FAtt 21 0 0 27 Oct 2023
Insightful analysis of historical sources at scales beyond human capabilities using unsupervised Machine Learning and XAI Oliver Eberle Jochen Büttner Hassan el-Hajj G. Montavon Klaus-Robert Muller Matteo Valleriani 23 1 0 13 Oct 2023
Faithfulness Measurable Masked Language Models Andreas Madsen Siva Reddy Sarath Chandar 38 3 0 11 Oct 2023
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments Yang Zhang Yawei Li Hannah Brown Mina Rezaei Bernd Bischl Philip Torr Ashkan Khakzar Kenji Kawaguchi OOD 55 1 0 10 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 32 1 0 26 Sep 2023
Goodhart's Law Applies to NLP's Explanation Benchmarks Jennifer Hsia Danish Pruthi Aarti Singh Zachary Chase Lipton 30 6 0 28 Aug 2023
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box Yingcheng Cai Gerhard Wunder FAtt 31 0 0 18 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li Yanglin Zhang Kenji Kawaguchi Ashkan Khakzar Bernd Bischl Mina Rezaei FAtt XAI 47 0 0 17 Aug 2023
Robust Infidelity: When Faithfulness Measures on Masked Language Models Are Misleading Evan Crothers H. Viktor Nathalie Japkowicz AAML 19 1 0 13 Aug 2023
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods Robin Hesse Simone Schaub-Meyer Stefan Roth AAML 37 32 0 11 Aug 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems Amir Samadi A. Shirian K. Koufos Kurt Debattista M. Dianati AAML FAtt LRM 26 8 0 28 Jul 2023
Discriminative Feature Attributions: Bridging Post Hoc Explainability and Inherent Interpretability Usha Bhalla Suraj Srinivas Himabindu Lakkaraju FAtt CML 29 6 0 27 Jul 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI) Timo Speith Markus Langer 29 12 0 26 Jul 2023
Saliency strikes back: How filtering out high frequencies improves white-box explanations Sabine Muzellec Thomas Fel Victor Boutin Léo Andéol R. V. Rullen Thomas Serre FAtt 30 0 0 18 Jul 2023
Visual Explanations with Attributions and Counterfactuals on Time Series Classification U. Schlegel Daniela Oelke Daniel A. Keim Mennatallah El-Assady AI4TS FAtt 33 4 0 14 Jul 2023
Exploring the Lottery Ticket Hypothesis with Explainability Methods: Insights into Sparse Network Performance Shantanu Ghosh Kayhan Batmanghelich 30 0 0 07 Jul 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat Shantanu Ghosh K. Yu Forough Arabshahi Kayhan Batmanghelich MoE 26 13 0 07 Jul 2023
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency Md Abdul Kadir G. Addluri Daniel Sonntag FAtt 19 1 0 05 Jul 2023
Does Saliency-Based Training bring Robustness for Deep Neural Networks in Image Classification? Ali Karkehabadi FAtt AAML 8 0 0 28 Jun 2023
Towards Explainable Evaluation Metrics for Machine Translation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei-Ye Zhao Yang Gao Steffen Eger ELM 30 13 0 22 Jun 2023
ProtoGate: Prototype-based Neural Networks with Global-to-local Feature Selection for Tabular Biomedical Data Xiangjian Jiang Andrei Margeloiu Nikola Simidjievski M. Jamnik OOD 34 10 0 21 Jun 2023
Explainable AI and Machine Learning Towards Human Gait Deterioration Analysis Abdullah Alharthi 19 0 0 12 Jun 2023
Two-Stage Holistic and Contrastive Explanation of Image Classification Weiyan Xie Xiao-hui Li Zhi Lin Leonard K. M. Poon Caleb Chen Cao N. Zhang 24 2 0 10 Jun 2023
Strategies to exploit XAI to improve classification systems Andrea Apicella Luca Di Lorenzo Francesco Isgrò A. Pollastro R. Prevete 11 9 0 09 Jun 2023
DecompX: Explaining Transformers Decisions by Propagating Token Decomposition Ali Modarressi Mohsen Fayyaz Ehsan Aghazadeh Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 25 25 0 05 Jun 2023
Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables Rick Wilming Leo Kieslich Benedict Clark Stefan Haufe 19 9 0 02 Jun 2023
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition Xiao-lan Wu P. Bell A. Rajan 19 5 0 29 May 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 37 3 0 25 May 2023
An Experimental Investigation into the Evaluation of Explainability Methods Sédrick Stassin A. Englebert Géraldin Nanfack Julien Albert Nassim Versbraegen Gilles Peiffer Miriam Doh Nicolas Riche Benoit Frénay Christophe De Vleeschouwer XAI ELM 16 5 0 25 May 2023
Explain Any Concept: Segment Anything Meets Concept-Based Explanation Ao Sun Pingchuan Ma Yuanyuan Yuan Shuai Wang LLMAG 23 31 0 17 May 2023
Human Attention-Guided Explainable Artificial Intelligence for Computer Vision Models Guoyang Liu Jindi Zhang Antoni B. Chan J. H. Hsiao 29 14 0 05 May 2023
Evaluating Post-hoc Interpretability with Intrinsic Interpretability J. P. Amorim P. Abreu João A. M. Santos Henning Muller FAtt 30 1 0 04 May 2023
$On Pitfalls of $\textit{RemOve-And-Retrain}$: Data Processing Inequality Perspective$ On Pitfalls of $\textit{RemOve-And-Retrain}$ : Data Processing Inequality Perspective J. Song Keumgang Cha Junghoon Seo 40 2 0 26 Apr 2023
Robustness of Visual Explanations to Common Data Augmentation Lenka Tětková Lars Kai Hansen AAML 26 6 0 18 Apr 2023
ODAM: Gradient-based instance-specific visual explanations for object detection Chenyang Zhao Antoni B. Chan FAtt 21 8 0 13 Apr 2023
Explainable Artificial Intelligence Architecture for Melanoma Diagnosis Using Indicator Localization and Self-Supervised Learning Ruitong Sun Mohammad Rostami 16 2 0 26 Mar 2023
Analyzing Effects of Mixed Sample Data Augmentation on Model Interpretability Soyoun Won Sung-Ho Bae Seong Tae Kim 50 2 0 26 Mar 2023
Better Understanding Differences in Attribution Methods via Systematic Evaluations Sukrut Rao Moritz D Boehle Bernt Schiele XAI 29 2 0 21 Mar 2023
EvalAttAI: A Holistic Approach to Evaluating Attribution Maps in Robust and Non-Robust Models Ian E. Nielsen Ravichandran Ramachandran N. Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool AAML FAtt 41 7 0 15 Mar 2023
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images Ario Sadafi Oleksandra Adonkina Ashkan Khakzar P. Lienemann Rudolf Matthias Hehr Daniel Rueckert Nassir Navab Carsten Marr FAtt 48 10 0 15 Mar 2023
Explainable AI for Time Series via Virtual Inspection Layers Johanna Vielhaben Sebastian Lapuschkin G. Montavon Wojciech Samek XAI AI4TS 18 25 0 11 Mar 2023
On the Soundness of XAI in Prognostics and Health Management (PHM) D. Martín Juan Galán Páez J. Borrego-Díaz 45 12 0 09 Mar 2023
Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks L. Brocki N. C. Chung FAtt AAML 43 11 0 02 Mar 2023
Finding the right XAI method -- A Guide for the Evaluation and Ranking of Explainable AI Methods in Climate Science P. Bommer M. Kretschmer Anna Hedström Dilyara Bareeva Marina M.-C. Höhne 46 38 0 01 Mar 2023
Don't be fooled: label leakage in explanation methods and the importance of their quantitative evaluation N. Jethani A. Saporta Rajesh Ranganath FAtt 29 10 0 24 Feb 2023
The Generalizability of Explanations Hanxiao Tan FAtt 18 1 0 23 Feb 2023
Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations Zhenxiao Cheng Jie Zhou Wen Wu Qin Chen Liang He 32 3 0 21 Feb 2023