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Striving for Simplicity: The All Convolutional Net

21 December 2014

Jost Tobias Springenberg

Alexey Dosovitskiy

Thomas Brox

Martin Riedmiller

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Papers citing "Striving for Simplicity: The All Convolutional Net"

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Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency Jun Huang Yan Liu FAtt 100 0 0 23 Apr 2024
Machine Unlearning via Null Space Calibration Huiqiang Chen Tianqing Zhu Xin Yu Wanlei Zhou 87 9 0 21 Apr 2024
Toward Understanding the Disagreement Problem in Neural Network Feature Attribution Niklas Koenen Marvin N. Wright FAtt 75 5 0 17 Apr 2024
CNN-based explanation ensembling for dataset, representation and explanations evaluation Weronika Hryniewska-Guzik Luca Longo P. Biecek FAtt 80 0 0 16 Apr 2024
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis Dipkamal Bhusal Md Tanvirul Alam M. K. Veerabhadran Michael Clifford Sara Rampazzi Nidhi Rastogi AAML 95 1 0 12 Apr 2024
Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks Kavita Kumari Murtuza Jadliwala S. Jha Anindya Maiti 75 2 0 10 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training Shizhan Gong Qi Dou Farzan Farnia FAtt 93 3 0 06 Apr 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity Walid Bousselham Angie Boggust Sofian Chaybouti Hendrik Strobelt Hilde Kuehne 170 13 0 04 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures Thanh Tam Nguyen T. T. Huynh Zhao Ren Thanh Toan Nguyen Phi Le Nguyen Hongzhi Yin Quoc Viet Hung Nguyen 166 8 0 31 Mar 2024
A Peg-in-hole Task Strategy for Holes in Concrete André Yuji Yasutomi Hiroki Mori Tetsuya Ogata 51 15 0 29 Mar 2024
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models Anees Ur Rehman Hashmi Dwarikanath Mahapatra Mohammad Yaqub VLM MedIm 43 2 0 27 Mar 2024
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks Tian Ye Rajgopal Kannan Viktor Prasanna Carl E. Busart AAML 67 1 0 27 Mar 2024
Multi-scale Unified Network for Image Classification Wenzhuo Liu Fei Zhu Cheng-Lin Liu CVBM 96 0 0 27 Mar 2024
Sanity Checks for Explanation Uncertainty Matias Valdenegro-Toro Mihir Mulye FAtt 85 0 0 25 Mar 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks Mihir Mulye Matias Valdenegro-Toro UQCV FAtt 110 0 0 25 Mar 2024
An Analytic Solution to Covariance Propagation in Neural Networks Oren Wright Yorie Nakahira José M. F. Moura 87 5 0 24 Mar 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer Junyi Wu Bin Duan Weitai Kang Hao Tang Yan Yan 58 9 0 21 Mar 2024
Listenable Maps for Audio Classifiers Francesco Paissan Mirco Ravanelli Cem Subakan 63 10 0 19 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 72 25 0 15 Mar 2024
Interpretable Machine Learning for Survival Analysis Sophie Hanna Langbein Mateusz Krzyzinski Mikolaj Spytek Hubert Baniecki P. Biecek Marvin N. Wright 85 2 0 15 Mar 2024
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN) M. Aljubran Roland N. Horne AI4CE 83 10 0 15 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks Hmrishav Bandyopadhyay Pinaki Nath Chowdhury A. Bhunia Aneeshan Sain Tao Xiang Yi-Zhe Song 101 4 0 14 Mar 2024
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks Florian Eilers Xiaoyi Jiang FAtt 63 0 0 13 Mar 2024
Explainable Learning with Gaussian Processes Kurt Butler Guanchao Feng Petar M. Djurić 123 2 0 11 Mar 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 64 0 0 09 Mar 2024
Feature CAM: Interpretable AI in Image Classification Frincy Clement Ji Yang Irene Cheng FAtt 43 1 0 08 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors Ben Pinhasov Raz Lapid Rony Ohayon Moshe Sipper Y. Aperstein AAML 82 7 0 05 Mar 2024
Saliency-Aware Automatic Buddhas Statue Recognition Yong Qi Fanghan Zhao 38 0 0 26 Feb 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models Hongbin Liu Michael K. Reiter Neil Zhenqiang Gong AAML 101 2 0 22 Feb 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty Sara Vera Marjanović Isabelle Augenstein Christina Lioma AAML 80 0 0 20 Feb 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures Paul Viallard Rémi Emonet Amaury Habrard Emilie Morvant Valentina Zantedeschi 116 3 0 19 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry Lars Nieradzik Henrike Stephani Jördis Sieburg-Rockel Stephanie Helmling Andrea Olbrich Janis Keuper FAtt 92 3 0 18 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images Christopher Hamblin Thomas Fel Srijani Saha Talia Konkle George A. Alvarez FAtt 92 3 0 15 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 102 3 0 13 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima Maxime Haddouche Paul Viallard Umut Simsekli Benjamin Guedj 116 4 0 13 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review Anton Kuznietsov Bálint Gyevnár Cheng Wang Steven Peters Stefano V. Albrecht XAI 86 34 0 08 Feb 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications Boyi Wei Kaixuan Huang Yangsibo Huang Tinghao Xie Xiangyu Qi Mengzhou Xia Prateek Mittal Mengdi Wang Peter Henderson AAML 151 118 0 07 Feb 2024
Focal Modulation Networks for Interpretable Sound Classification Luca Della Libera Cem Subakan Mirco Ravanelli 82 2 0 05 Feb 2024
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques Weronika Hryniewska-Guzik Bartosz Sawicki P. Biecek 91 0 0 30 Jan 2024
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models Jie Li Yi Liu Chongyang Liu Ling Shi Xiaoning Ren Yaowen Zheng Yang Liu Yinxing Xue AAML 101 27 0 30 Jan 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations Hanxiao Tan 68 1 0 26 Jan 2024
Transforming gradient-based techniques into interpretable methods Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman 46 6 0 25 Jan 2024
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition Sangyu Han Yearim Kim Nojun Kwak AAML 69 2 0 25 Jan 2024
Full Bayesian Significance Testing for Neural Networks Zehua Liu Zimeng Li Jingyuan Wang Yue He BDL 59 4 0 24 Jan 2024
Fuzzy Logic Function as a Post-hoc Explanator of the Nonlinear Classifier M. Klimo L. Králik 11 1 0 22 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods Borui Zhang Wenzhao Zheng Jie Zhou Jiwen Lu 75 2 0 19 Jan 2024
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test Anna Hedström Leander Weber Sebastian Lapuschkin Marina M.-C. Höhne LRM 95 4 0 12 Jan 2024
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU Kianoosh Kazemi Iman Azimi P. Liljeberg Amir M. Rahmani 35 2 0 10 Jan 2024
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis Mostafa EL HABIB DAHO Yi-Hsuan Li Rachid Zeghlache Hugo Le Boité Pierre Deman ... A. Couturier R. Tadayoni Pierre-Henri Conze M. Lamard G. Quellec 67 8 0 10 Jan 2024
Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware Detector Jitao Ma Weiying Xie Yunsong Li 82 1 0 02 Jan 2024