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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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Title
Attribution Preservation in Network Compression for Reliable Network Interpretation Geondo Park J. Yang Sung Ju Hwang Eunho Yang 57 5 0 28 Oct 2020
Exploring the potential of transfer learning for metamodels of heterogeneous material deformation Emma Lejeune Bill Zhao AI4CE 46 20 0 28 Oct 2020
Shapley Flow: A Graph-based Approach to Interpreting Model Predictions Jiaxuan Wang Jenna Wiens Scott M. Lundberg FAtt 129 90 0 27 Oct 2020
XLVIN: eXecuted Latent Value Iteration Nets Andreea Deac Petar Velivcković Ognjen Milinković Pierre-Luc Bacon Jian Tang Mladen Nikolic 63 19 0 25 Oct 2020
Investigating Saturation Effects in Integrated Gradients Vivek Miglani Narine Kokhlikyan B. Alsallakh Miguel Martin Orion Reblitz-Richardson FAtt 111 26 0 23 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 99 7 0 23 Oct 2020
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet Chaoning Zhang Philipp Benz Dawit Mureja Argaw Seokju Lee Junsik Kim François Rameau Jean-Charles Bazin In So Kweon 92 115 0 23 Oct 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 84 68 0 22 Oct 2020
Rethinking pooling in graph neural networks Diego Mesquita Amauri Souza Samuel Kaski GNN AI4CE 293 118 0 22 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 125 65 0 20 Oct 2020
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy K. Cheuk Yin-Jyun Luo Emmanouil Benetos Dorien Herremans 112 22 0 20 Oct 2020
Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability Jason Phang Jungkyu Park Krzysztof J. Geras FAtt AAML 250 8 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
ERIC: Extracting Relations Inferred from Convolutions Joe Townsend Theodoros Kasioumis Hiroya Inakoshi NAI FAtt 82 16 0 19 Oct 2020
A Framework to Learn with Interpretation Jayneel Parekh Pavlo Mozharovskyi Florence dÁlché-Buc AI4CE FAtt 80 30 0 19 Oct 2020
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels Xiangwei Shi Seyran Khademi Yun-qiang Li Jan van Gemert VLM WSOL 88 20 0 16 Oct 2020
A general approach to compute the relevance of middle-level input features Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 49 6 0 16 Oct 2020
In Depth Bayesian Semantic Scene Completion David Gillsjö Kalle Åström UQCV BDL 42 1 0 16 Oct 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 67 34 0 16 Oct 2020
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness Long Zhao Ting Liu Xi Peng Dimitris N. Metaxas OOD AAML 131 171 0 15 Oct 2020
Federated Learning in Adversarial Settings Raouf Kerkouche G. Ács C. Castelluccia FedML 48 16 0 15 Oct 2020
Learning Propagation Rules for Attribution Map Generation Yiding Yang Jiayan Qiu Xiuming Zhang Dacheng Tao Xinchao Wang FAtt 71 17 0 14 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Leilei Gan Jiwei Li FAtt 78 10 0 14 Oct 2020
On the Minimal Recognizable Image Patch Mark Fonaryov M. Lindenbaum 20 1 0 12 Oct 2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks Minh Nhat Vu My T. Thai BDL 91 339 0 12 Oct 2020
Interpreting Multivariate Shapley Interactions in DNNs Hao Zhang Yichen Xie Longjie Zheng Die Zhang Quanshi Zhang TDI FAtt 90 7 0 10 Oct 2020
A Data Set and a Convolutional Model for Iconography Classification in Paintings Federico Milani Piero Fraternali 94 50 0 06 Oct 2020
Visualizing Color-wise Saliency of Black-Box Image Classification Models Yuhki Hatakeyama Hiroki Sakuma Yoshinori Konishi Kohei Suenaga FAtt 64 3 0 06 Oct 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 102 97 0 05 Oct 2020
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting Sayna Ebrahimi Suzanne Petryk Akash Gokul William Gan Joseph E. Gonzalez Marcus Rohrbach Trevor Darrell CLL 83 47 0 04 Oct 2020
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez Xin Qiu Risto Miikkulainen 128 0 0 02 Oct 2020
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation Lei He Nabil Aouf Bifeng Song 58 11 0 30 Sep 2020
Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach Nicholas F Halliwell Freddy Lecue FAtt 118 9 0 29 Sep 2020
Where is the Model Looking At?--Concentrate and Explain the Network Attention Wenjia Xu Jiuniu Wang Yang Wang Guangluan Xu Wei Dai Yirong Wu XAI 85 17 0 29 Sep 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng Asoke K. Nandi SSeg OOD 115 579 0 28 Sep 2020
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis Amitojdeep Singh J. Balaji M. Rasheed Varadharajan Jayakumar R. Raman Vasudevan Lakshminarayanan BDL XAI FAtt 57 29 0 26 Sep 2020
A Diagnostic Study of Explainability Techniques for Text Classification Pepa Atanasova J. Simonsen Christina Lioma Isabelle Augenstein XAI FAtt 101 226 0 25 Sep 2020
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner Filters Xudong Wang Stella X. Yu 52 38 0 25 Sep 2020
Information-Theoretic Visual Explanation for Black-Box Classifiers Jihun Yi Eunji Kim Siwon Kim Sungroh Yoon FAtt 88 6 0 23 Sep 2020
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors Yi-Shan Lin Wen-Chuan Lee Z. Berkay Celik XAI 102 97 0 22 Sep 2020
CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation Ran Gu Guotai Wang Tao Song Rui Huang Michael Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren Shaoting Zhang SSeg 135 473 0 22 Sep 2020
Introspective Learning by Distilling Knowledge from Online Self-explanation Jindong Gu Zhiliang Wu Volker Tresp 39 3 0 19 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 122 28 0 18 Sep 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 197 80 0 17 Sep 2020
Captum: A unified and generic model interpretability library for PyTorch Narine Kokhlikyan Vivek Miglani Miguel Martin Edward Wang B. Alsallakh ... Alexander Melnikov Natalia Kliushkina Carlos Araya Siqi Yan Orion Reblitz-Richardson FAtt 201 855 0 16 Sep 2020
MeLIME: Meaningful Local Explanation for Machine Learning Models T. Botari Frederik Hvilshoj Rafael Izbicki A. Carvalho AAML FAtt 75 16 0 12 Sep 2020
TP-LSD: Tri-Points Based Line Segment Detector Siyu Huang Fangbo Qin Pengfei Xiong Ning Ding Yijia He Xiao-Chang Liu 78 57 0 11 Sep 2020
Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease M. Sagar M. Dyrba MedIm 15 0 0 10 Sep 2020
XCM: An Explainable Convolutional Neural Network for Multivariate Time Series Classification Kevin Fauvel Tao R. Lin Véronique Masson Elisa Fromont Alexandre Termier BDL AI4TS 39 102 0 10 Sep 2020
CNNPruner: Pruning Convolutional Neural Networks with Visual Analytics Guan Li Junpeng Wang Han-Wei Shen Kaixin Chen Guihua Shan Zhonghua Lu AAML 54 47 0 08 Sep 2020