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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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AutoGen Driven Multi Agent Framework for Iterative Crime Data Analysis and Prediction Syeda Kisaa Fatima Tehreem Zubair Noman Ahmed Asifullah Khan LLMAG SyDa 31 0 0 13 Jun 2025
Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering C. Tinauer Maximilian Sackl Stefan Ropele C. Langkammer 51 0 0 04 Jun 2025
Visual Explanation via Similar Feature Activation for Metric Learning Yi Liao Ugochukwu Ejike Akpudo Jue Zhang Yongsheng Gao Jun Zhou Wenyi Zeng Weichuan Zhang FAtt 51 0 0 02 Jun 2025
Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images George R. Nahass Zhu Wang Homa Rashidisabet Won Hwa Kim Sasha Hubschman ... Chad A. Purnell P. Setabutr Ann Q. Tran Darvin Yi Sathya Ravi MU OOD 42 0 0 28 May 2025
Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting Wei Lin Chenyang Zhao Antoni B. Chan 9 0 0 28 May 2025
Soft-CAM: Making black box models self-explainable for high-stakes decisions K. Djoumessi Philipp Berens FAtt BDL 231 0 0 23 May 2025
WebXAII: an open-source web framework to study human-XAI interaction Jules Leguy Pierre-Antoine Jean Felipe Torres Figueroa Sébastien Harispe 21 0 0 16 May 2025
Minimizing False-Positive Attributions in Explanations of Non-Linear Models Anders Gjølbye Stefan Haufe Lars Kai Hansen 251 0 0 16 May 2025
Feature Visualization in 3D Convolutional Neural Networks Chunpeng Li Ya-tang Li FAtt 44 0 0 12 May 2025
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From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection Moritz Vandenhirtz Julia E. Vogt 98 0 0 09 May 2025
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Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale using Sketched Methods Andres Fernandez Frank Schneider Maren Mahsereci Philipp Hennig 118 0 0 20 Apr 2025
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 83 0 0 08 Apr 2025
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ESC: Erasing Space Concept for Knowledge Deletion Tae-Young Lee Sundong Park M. Jeon Hyoseok Hwang Gyeong-Moon Park KELM MU 85 0 0 03 Apr 2025
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VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow Ada Gorgun Bernt Schiele Jonas Fischer 79 0 0 28 Mar 2025
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Escaping Plato's Cave: Robust Conceptual Reasoning through Interpretable 3D Neural Object Volumes Nhi Pham Bernt Schiele Adam Kortylewski Jonas Fischer 111 0 0 17 Mar 2025
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Unifying Perplexing Behaviors in Modified BP Attributions through Alignment Perspective Guanhua Zheng Jitao Sang Changsheng Xu AAML FAtt 121 0 0 14 Mar 2025
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How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks? Gal Alon Yehuda Dar MU AI4CE 97 0 0 11 Mar 2025
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Post-Hoc Concept Disentanglement: From Correlated to Isolated Concept Representations Eren Erogullari Sebastian Lapuschkin Wojciech Samek Frederik Pahde LLMSV CoGe 94 0 0 07 Mar 2025
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Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment Harrish Thasarathan Julian Forsyth Thomas Fel M. Kowal Konstantinos G. Derpanis 146 10 0 06 Feb 2025
Deep Unfolding Multi-modal Image Fusion Network via Attribution Analysis Haowen Bai Zixiang Zhao Jiangshe Zhang Baisong Jiang Lilun Deng Yukun Cui Shuang Xu Chunxia Zhang 140 4 0 03 Feb 2025
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Pfungst and Clever Hans: Identifying the unintended cues in a widely used Alzheimer's disease MRI dataset using explainable deep learning C. Tinauer Maximilian Sackl Rudolf Stollberger Stefan Ropele C. Langkammer AAML 49 1 0 27 Jan 2025
Generating visual explanations from deep networks using implicit neural representations Michal Byra Henrik Skibbe GAN FAtt 111 0 0 20 Jan 2025
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