Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images

7 December 2015

Andrea Vedaldi

Papers citing "Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images"

50 / 84 papers shown

Title
Path Analysis for Effective Fault Localization in Deep Neural Networks Soroush Hashemifar Saeed Parsa A. Kalaee AAML 49 0 0 28 Jan 2025
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models Jayneel Parekh Quentin Bouniot Pavlo Mozharovskyi A. Newson Florence dÁlché-Buc SSL 66 1 0 01 Jul 2024
Flow AM: Generating Point Cloud Global Explanations by Latent Alignment Hanxiao Tan 44 1 0 29 Apr 2024
Prototypical Self-Explainable Models Without Re-training Srishti Gautam Ahcène Boubekki Marina M.-C. Höhne Michael C. Kampffmeyer 34 2 0 13 Dec 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 44 2 0 12 Apr 2023
Posthoc Interpretation via Quantization Francesco Paissan Cem Subakan Mirco Ravanelli MQ 24 6 0 22 Mar 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 34 1 0 17 Feb 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 29 6 0 19 Jan 2023
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 32 7 0 13 Dec 2022
Interactive Visual Feature Search Devon Ulrich Ruth C. Fong FAtt 29 0 0 28 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data collection Sahil Singla Atoosa Malemir Chegini Mazda Moayeri Soheil Feiz 27 4 0 17 Nov 2022
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier Mozhdeh Rouhsedaghat Masoud Monajatipoor C.-C. Jay Kuo I. Masi 45 6 0 23 Sep 2022
Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images Tom Ron M. Weiler-Sagie Tamir Hazan FAtt MedIm 27 6 0 06 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 40 38 0 02 Jun 2022
Perception Visualization: Seeing Through the Eyes of a DNN Loris Giulivi Mark J. Carman Giacomo Boracchi 18 6 0 21 Apr 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 50 7 0 17 Mar 2022
Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc G. Richard 24 22 0 23 Feb 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 33 23 0 16 Dec 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 22 120 0 01 Nov 2021
Designing Counterfactual Generators using Deep Model Inversion Jayaraman J. Thiagarajan V. Narayanaswamy Deepta Rajan J. Liang Akshay S. Chaudhari A. Spanias DiffM 20 22 0 29 Sep 2021
Saliency Guided Experience Packing for Replay in Continual Learning Gobinda Saha Kaushik Roy VLM KELM CLL 94 22 0 10 Sep 2021
Rethinking Hard-Parameter Sharing in Multi-Domain Learning Lijun Zhang Qizheng Yang Xiao Liu Hui Guan OOD 33 14 0 23 Jul 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 33 3 0 26 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 28 1 0 23 Jun 2021
Calliar: An Online Handwritten Dataset for Arabic Calligraphy Zaid Alyafeai Maged S. Al-Shaibani Mustafa Ghaleb Yousif Ahmed Al-Wajih 3DV 16 5 0 20 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 22 28 0 21 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 29 140 0 17 May 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 25 462 0 15 Apr 2021
Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers Hila Chefer Shir Gur Lior Wolf ViT 31 306 0 29 Mar 2021
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada CML AAML 18 33 0 01 Mar 2021
Transformer Interpretability Beyond Attention Visualization Hila Chefer Shir Gur Lior Wolf 45 644 0 17 Dec 2020
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
Dirichlet Pruning for Neural Network Compression Kamil Adamczewski Mijung Park 27 3 0 10 Nov 2020
Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning Iro Laina Ruth C. Fong Andrea Vedaldi OCL 33 13 0 27 Oct 2020
Using Deep Image Priors to Generate Counterfactual Explanations V. Narayanaswamy Jayaraman J. Thiagarajan A. Spanias 18 4 0 22 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 36 48 0 09 Oct 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 14 56 0 14 Aug 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao Biao Li FAtt 24 266 0 05 Aug 2020
On Learning Semantic Representations for Million-Scale Free-Hand Sketches Peng Xu Yongye Huang Tongtong Yuan Tao Xiang Timothy M. Hospedales Yi-Zhe Song Liang Wang SSL 27 4 0 07 Jul 2020
Visualizing Deep Learning-based Radio Modulation Classifier Liang Huang You Zhang Weijian Pan Jinyin Chen L. Qian Yuan Wu 22 32 0 03 May 2020
Metamorphic Testing for Object Detection Systems Shuai Wang Z. Su 34 24 0 19 Dec 2019
Neural Network Memorization Dissection Jindong Gu Volker Tresp FedML 15 12 0 21 Nov 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 25 411 0 18 Oct 2019
Decision Explanation and Feature Importance for Invertible Networks Juntang Zhuang Nicha Dvornek Xiaoxiao Li Junlin Yang James S. Duncan AAML FAtt 33 5 0 30 Sep 2019
Towards Learning a Self-inverse Network for Bidirectional Image-to-image Translation ZENGMING SHEN Yifan Chen S. Kevin Zhou Bogdan Georgescu Xuqi Liu Thomas S. Huang SSL MedIm 21 1 0 09 Sep 2019
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation Brian Kenji Iwana Ryohei Kuroki S. Uchida FAtt 35 95 0 06 Aug 2019
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network Models Daniel Omeiza Skyler Speakman C. Cintas Komminist Weldemariam FAtt 22 216 0 03 Aug 2019
Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks Felipe A. Mejia Paul Gamble Z. Hampel-Arias M. Lomnitz Nina Lopatina Lucas Tindall M. Barrios SILM 27 18 0 15 Jun 2019
Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao Isay Katsman Chao-Yuan Wu Devi Parikh Kristen Grauman 18 67 0 19 Apr 2019
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 19 160 0 18 Apr 2019