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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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SPADE: Sparsity-Guided Debugging for Deep Neural Networks Arshia Soltani Moakhar Eugenia Iofinova Elias Frantar Dan Alistarh 104 2 0 06 Oct 2023
ViT-ReciproCAM: Gradient and Attention-Free Visual Explanations for Vision Transformer Seokhyun Byun Won-Jo Lee FAtt 82 5 0 04 Oct 2023
Explaining Deep Face Algorithms through Visualization: A Survey Thrupthi Ann S. M. I. C. V. Balasubramanian M. Jawahar CVBM 59 1 0 26 Sep 2023
Multiple Different Black Box Explanations for Image Classifiers Hana Chockler D. A. Kelly Daniel Kroening FAtt 120 0 0 25 Sep 2023
A matter of attitude: Focusing on positive and active gradients to boost saliency maps Oscar Llorente Jaime Boal Eugenio F. Sánchez-Úbeda FAtt 37 0 0 22 Sep 2023
Targeted Activation Penalties Help CNNs Ignore Spurious Signals Dekai Zhang Hamed Ayoobi Francesca Toni AAML 42 1 0 22 Sep 2023
The Topology and Geometry of Neural Representations Baihan Lin N. Kriegeskorte 72 7 0 20 Sep 2023
On Model Explanations with Transferable Neural Pathways Xinmiao Lin Wentao Bao Qi Yu Yu Kong 37 0 0 18 Sep 2023
Information based explanation methods for deep learning agents -- with applications on large open-source chess models Patrik Hammersborg Inga Strümke 31 1 0 18 Sep 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering F. Huang Yangdong Deng GAN AI4TS 62 1 0 09 Sep 2023
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care Tin Lai MedIm 73 4 0 01 Sep 2023
Prediction of Diblock Copolymer Morphology via Machine Learning Hyun Park Boyuan Yu Juhae Park Ge Sun E. Tajkhorshid J. Pablo Ludwig Schneider AI4CE 62 2 0 31 Aug 2023
Unsupervised discovery of Interpretable Visual Concepts Caroline Mazini Rodrigues Nicolas Boutry Laurent Najman FAtt 49 2 0 31 Aug 2023
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations Chetraj Pandey Anli Ji Trisha Nandakumar R. Angryk Berkay Aydin 54 6 0 30 Aug 2023
Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation M. Maruf Arka Daw Amartya Dutta Jie Bu Anuj Karpatne 96 0 0 21 Aug 2023
Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification Junhao Zhang Qianqian Wang Xiaochuan Wang Lishan Qiao Mingxia Liu 72 16 0 20 Aug 2023
Dissecting RGB-D Learning for Improved Multi-modal Fusion Hao Chen Hao Zhou Yunshu Zhang Zheng Lin Yongjian Deng 123 1 0 19 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods Yawei Li Yanglin Zhang Kenji Kawaguchi Ashkan Khakzar Bernd Bischl Mina Rezaei FAtt XAI 92 0 0 17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities Munib Mesinovic Peter Watkinson Ting Zhu FaML 74 3 0 16 Aug 2023
BSED: Baseline Shapley-Based Explainable Detector Michihiro Kuroki T. Yamasaki FAtt AAML 49 4 0 14 Aug 2023
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System Mojtaba Yeganejou Kimia Honari Ryan Kluzinski S. Dick M. Lipsett James Miller FedML AI4CE 55 1 0 11 Aug 2023
Decoding Layer Saliency in Language Transformers Elizabeth M. Hou Greg Castañón MILM 67 0 0 09 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods Rafael Brandt Daan Raatjens G. Gaydadjiev XAI 62 4 0 06 Aug 2023
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting Chetraj Pandey R. Angryk M. Georgoulis Berkay Aydin 41 6 0 04 Aug 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images Alessandro Fontanella Grant Mair Joanna M. Wardlaw Emanuele Trucco Amos Storkey DiffM MedIm 93 25 0 03 Aug 2023
DLSIA: Deep Learning for Scientific Image Analysis Eric J. Roberts Tanny Chavez Alexander Hexemer Petrus H. Zwart AI4CE 47 5 0 02 Aug 2023
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods Chetraj Pandey R. Angryk Berkay Aydin FAtt 48 10 0 29 Jul 2023
Simplified Concrete Dropout -- Improving the Generation of Attribution Masks for Fine-grained Classification D. Korsch M. Shadaydeh Joachim Denzler 97 1 0 27 Jul 2023
Sparse Double Descent in Vision Transformers: real or phantom threat? Victor Quétu Marta Milovanović Enzo Tartaglione 135 2 0 26 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI) Barnaby Crook Maximilian Schluter Timo Speith 78 17 0 26 Jul 2023
Mini-PointNetPlus: a local feature descriptor in deep learning model for 3d environment perception Chuanyu Luo Nuo Cheng Sikun Ma Jun Xiang Xiaohan Li Shengguang Lei Pu Li 3DPC 16 0 0 25 Jul 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations? Susu Sun Lisa M. Koch Christian F. Baumgartner 84 16 0 23 Jul 2023
eXplainable Artificial Intelligence (XAI) in aging clock models Alena I. Kalyakulina I. Yusipov Alexey Moskalev Claudio Franceschi Mikhail Ivanchenko 71 22 0 21 Jul 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness M. K. Yucel R. G. Cinbis Pinar Duygulu AAML 67 10 0 21 Jul 2023
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification Xinke Li Junchi Lu Henghui Ding Changsheng Sun Qiufeng Wang Chee Yeow Meng 3DPC 93 6 0 20 Jul 2023
Saliency strikes back: How filtering out high frequencies improves white-box explanations Sabine Muzellec Thomas Fel Victor Boutin Léo Andéol R. V. Rullen Thomas Serre FAtt 71 1 0 18 Jul 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks Tingxiong Xiao Weihang Zhang Yuxiao Cheng J. Suo 62 3 0 17 Jul 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 124 8 0 14 Jul 2023
Is Task-Agnostic Explainable AI a Myth? Alicja Chaszczewicz 57 2 0 13 Jul 2023
Gradient Surgery for One-shot Unlearning on Generative Model Seohui Bae Seoyoon Kim Hyemin Jung Woohyung Lim BDL MU 68 9 0 10 Jul 2023
Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency Md Abdul Kadir G. Addluri Daniel Sonntag FAtt 41 1 0 05 Jul 2023
Mitigating Bias: Enhancing Image Classification by Improving Model Explanations Raha Ahmadi Mohammad Javad Rajabi Mohammad Khalooiem Mohammad Sabokrou 62 0 0 04 Jul 2023
Fixing confirmation bias in feature attribution methods via semantic match Giovanni Cina Daniel Fernandez-Llaneza Ludovico Deponte Nishant Mishra Tabea E. Rober Sandro Pezzelle Iacer Calixto Rob Goedhart cS. .Ilker Birbil FAtt 66 1 0 03 Jul 2023
Identifying Important Sensory Feedback for Learning Locomotion Skills Wanming Yu Chuanyu Yang C. McGreavy Eleftherios Triantafyllidis Guillaume Bellegarda M. Shafiee A. Ijspeert Zhibin Li 83 16 0 29 Jun 2023
XAI-TRIS: Non-linear image benchmarks to quantify false positive post-hoc attribution of feature importance Benedict Clark Rick Wilming Stefan Haufe 100 5 0 22 Jun 2023
Evaluating the overall sensitivity of saliency-based explanation methods Harshinee Sriram Cristina Conati AAML XAI FAtt 106 0 0 21 Jun 2023
Benchmark data to study the influence of pre-training on explanation performance in MR image classification Marta Oliveira Rick Wilming Benedict Clark Céline Budding Fabian Eitel K. Ritter Stefan Haufe 55 1 0 21 Jun 2023
A Lightweight Generative Model for Interpretable Subject-level Prediction C. Mauri Stefano Cerri Oula Puonti Mark Muhlau Koen van Leemput MedIm AI4CE 101 0 0 19 Jun 2023
B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers Moritz D Boehle Navdeeppal Singh Mario Fritz Bernt Schiele 163 27 0 19 Jun 2023
Rosetta Neurons: Mining the Common Units in a Model Zoo Amil Dravid Yossi Gandelsman Alexei A. Efros Assaf Shocher 76 31 0 15 Jun 2023