v1v2 (latest)

Visual Interpretability for Deep Learning: a Survey

2 February 2018

Papers citing "Visual Interpretability for Deep Learning: a Survey"

50 / 258 papers shown

Title
Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability Yarden Bakish Itamar Zimerman Hila Chefer Lior Wolf 14 0 0 02 Jun 2025
Tversky Neural Networks: Psychologically Plausible Deep Learning with Differentiable Tversky Similarity M. Doumbouya Dan Jurafsky Christopher D. Manning FedML 10 0 0 21 May 2025
Exploring Neural Ordinary Differential Equations as Interpretable Healthcare classifiers Shi Li AI4CE 94 0 0 05 Mar 2025
SAE-V: Interpreting Multimodal Models for Enhanced Alignment Hantao Lou Changye Li Yalan Qin Yaodong Yang 122 1 0 22 Feb 2025
Discovering Chunks in Neural Embeddings for Interpretability Shuchen Wu Stephan Alaniz Eric Schulz Zeynep Akata 100 0 0 03 Feb 2025
Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system P. Teutsch Philipp Pfeffer Mohammad Sharifi Ghazijahani Christian Cierpka J. Schumacher Patrick Mäder AI4CE 60 0 0 06 Jan 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion Dong Zhang Kwang-Ting Cheng MedIm 141 0 0 03 Jan 2025
Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey Yunkai Dang Kaichen Huang Jiahao Huo Yibo Yan Shijie Huang ... Kun Wang Yong Liu Jing Shao Hui Xiong Xuming Hu LRM 168 22 0 03 Dec 2024
Universal scaling laws in quantum-probabilistic machine learning by tensor network towards interpreting representation and generalization powers Sheng-Chen Bai Shi-Ju Ran 95 1 0 13 Oct 2024
Concept-Based Explanations in Computer Vision: Where Are We and Where Could We Go? Jae Hee Lee Georgii Mikriukov Gesina Schwalbe Stefan Wermter D. Wolter 100 2 0 20 Sep 2024
Interpret the Predictions of Deep Networks via Re-Label Distillation Yingying Hua Shiming Ge Daichi Zhang FAtt 117 0 0 20 Sep 2024
Defining and Measuring Disentanglement for non-Independent Factors of Variation Antonio Almudévar Alfonso Ortega Luis Vicente A. Miguel Eduardo Lleida CoGe DRL 66 1 0 13 Aug 2024
Should XAI Nudge Human Decisions with Explanation Biasing? Yosuke Fukuchi Seiji Yamada 102 0 0 11 Jun 2024
Deep multi-prototype capsule networks Saeid Abbassi Kamaledin Ghiasi-Shirazi Ahad Harati 21 2 0 23 Apr 2024
A Survey on Evaluation of Out-of-Distribution Generalization Han Yu Jiashuo Liu Xingxuan Zhang Jiayun Wu Peng Cui OOD 101 9 0 04 Mar 2024
A Survey of Route Recommendations: Methods, Applications, and Opportunities Shi-sheng Zhang Zhipeng Luo Li Yang Fei Teng Tian-Jie Li AI4TS HAI 63 11 0 01 Mar 2024
Backward Lens: Projecting Language Model Gradients into the Vocabulary Space Shahar Katz Yonatan Belinkov Mor Geva Lior Wolf 107 17 1 20 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation Xuexin Chen Ruichu Cai Zhengting Huang Yuxuan Zhu Julien Horwood Zhifeng Hao Zijian Li Jose Miguel Hernandez-Lobato AAML 89 3 0 13 Feb 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 65 1 0 19 Jan 2024
Images in Discrete Choice Modeling: Addressing Data Isomorphism in Multi-Modality Inputs Brian Sifringer Alexandre Alahi 41 1 0 22 Dec 2023
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks Zhiyu Zhu Huaming Chen Jiayu Zhang Xinyi Wang Zhibo Jin Minhui Xue Dongxiao Zhu Kim-Kwang Raymond Choo FAtt 65 11 0 21 Dec 2023
Tensor networks for interpretable and efficient quantum-inspired machine learning Shirli Ran Gang Su 83 8 0 19 Nov 2023
Usability and Adoption of Graphical Data-Driven Development Tools Thomas Weber Sven Mayer 23 0 0 09 Nov 2023
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis Dipanjyoti Paul A. Chowdhury Xinqi Xiong Feng-Ju Chang David Carlyn ... Daniel Rubenstein Charles V. Stewart Tanya Berger-Wolf Yu-Chuan Su Wei-Lun Chao ViT 103 18 0 07 Nov 2023
Fast Shapley Value Estimation: A Unified Approach Borui Zhang Baotong Tian Wenzhao Zheng Jie Zhou Jiwen Lu TDI FAtt 93 1 0 02 Nov 2023
Enhancing the machine vision performance with multi-spectral light sources Feng Zhang Rui Bao Congqi Dai Wanlu Zhang Shu Liu R. Guo 55 0 0 20 Oct 2023
Machine Unlearning Methodology base on Stochastic Teacher Network Xulong Zhang Jianzong Wang Ning Cheng Yifu Sun Chuanyao Zhang Jing Xiao MU 55 4 0 28 Aug 2023
Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack Ningfei Wang Y. Luo Takami Sato Kaidi Xu Qi Alfred Chen AAML 74 34 0 23 Aug 2023
A New Perspective on Evaluation Methods for Explainable Artificial Intelligence (XAI) Timo Speith Markus Langer 91 14 0 26 Jul 2023
Recent Advancements in End-to-End Autonomous Driving using Deep Learning: A Survey Pranav Singh Chib Pravendra Singh 64 125 0 10 Jul 2023
FAIRER: Fairness as Decision Rationale Alignment Tianlin Li Qing Guo Aishan Liu Mengnan Du Zhiming Li Yang Liu 52 16 0 27 Jun 2023
Can Differentiable Decision Trees Enable Interpretable Reward Learning from Human Feedback? Akansha Kalra Daniel S. Brown 72 0 0 22 Jun 2023
Cyclic Learning: Bridging Image-level Labels and Nuclei Instance Segmentation Yang Zhou Yongjian Wu Zehao Wang Bingzheng Wei Maode Lai Jianzhong Shou Yubo Fan Yan Xu 69 12 0 05 Jun 2023
TLNets: Transformation Learning Networks for long-range time-series prediction Wen Wang Yang Liu Haoqin Sun AI4TS 72 3 0 25 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 95 7 0 23 May 2023
Evaluating how interactive visualizations can assist in finding samples where and how computer vision models make mistakes Hayeong Song Gonzalo A. Ramos P. Bodík HAI 51 0 0 19 May 2023
FICNN: A Framework for the Interpretation of Deep Convolutional Neural Networks Hamed Behzadi-Khormouji José Oramas 38 0 0 17 May 2023
ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps Yanfang Li Huan Wang Muxia Sun LM&MA AI4TS AI4CE 99 56 0 10 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 103 33 0 30 Apr 2023
Towards Co-Creative Generative Adversarial Networks for Fashion Designers Imke Grabe Jichen Zhu AI4CE GAN 58 0 0 19 Apr 2023
Trade-offs in Fine-tuned Diffusion Models Between Accuracy and Interpretability Mischa Dombrowski Hadrien Reynaud Johanna P. Müller Matthew Baugh Bernhard Kainz MedIm 50 7 0 31 Mar 2023
Intelligent diagnostic scheme for lung cancer screening with Raman spectra data by tensor network machine learning Yujia An Shengxing Bai Lin Cheng Xiao‐Guang Li Cheng Wang Xiao Han Gang Su Shi-Ju Ran Cong Wang 39 1 0 11 Mar 2023
Multi-Layer Attention-Based Explainability via Transformers for Tabular Data Andrea Trevino Gavito Diego Klabjan J. Utke LMTD 49 3 0 28 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 79 34 0 16 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 80 19 0 22 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 60 0 0 31 Dec 2022
RFPose-OT: RF-Based 3D Human Pose Estimation via Optimal Transport Theory Cong Yu Dongheng Zhang Zhi Wu Zhi Lu Chunyang Xie Yang Hu Yan Chen OT 36 9 0 26 Dec 2022
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 96 162 0 22 Dec 2022
Bort: Towards Explainable Neural Networks with Bounded Orthogonal Constraint Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu AAML 88 7 0 18 Dec 2022
Interpretable Diabetic Retinopathy Diagnosis based on Biomarker Activation Map P. Zang T. Hormel Jie Wang Yukun Guo Steven T. Bailey C. Flaxel David Huang T. Hwang Yali Jia MedIm 62 8 0 13 Dec 2022