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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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Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators A. Watanabe Sara Ketabi Khashayar Namdar Namdar Farzad Khalvati 56 9 0 28 Jun 2022
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A Dynamic Data Driven Approach for Explainable Scene Understanding Z. Daniels Dimitris N. Metaxas FAtt 46 3 0 18 Jun 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNs Hui Li Zihao Li Rui Ma Tieru Wu FAtt 40 9 0 17 Jun 2022
A Novel Implementation of Machine Learning for the Efficient, Explainable Diagnosis of COVID-19 from Chest CT Justin Liu 90 2 0 15 Jun 2022
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention Abelardo Carlos Martínez Lorenzo Pere-Lluís Huguet Cabot Roberto Navigli 73 4 0 15 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations Sebastian Bordt Uddeshya Upadhyay Zeynep Akata U. V. Luxburg FAtt AAML 57 14 0 15 Jun 2022
Machines Explaining Linear Programs David Steinmann Matej Zečević Devendra Singh Dhami Kristian Kersting FAtt 15 0 0 14 Jun 2022
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure Paul Novello Thomas Fel David Vigouroux FAtt 85 29 0 13 Jun 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention Yi He Xi Yang Chia-Ming Chang Haoran Xie Takeo Igarashi 87 8 0 13 Jun 2022
Geometrically Guided Integrated Gradients Md. Mahfuzur Rahman N. Lewis Sergey Plis FAtt AAML 30 0 0 13 Jun 2022
A Functional Information Perspective on Model Interpretation Itai Gat Nitay Calderon Roi Reichart Tamir Hazan AAML FAtt 84 6 0 12 Jun 2022
Diffeomorphic Counterfactuals with Generative Models Ann-Kathrin Dombrowski Jan E. Gerken Klaus-Robert Muller Pan Kessel DiffM BDL 125 17 0 10 Jun 2022
Xplique: A Deep Learning Explainability Toolbox Thomas Fel Lucas Hervier David Vigouroux Antonin Poché Justin Plakoo ... Agustin Picard C. Nicodeme Laurent Gardes G. Flandin Thomas Serre 63 30 0 09 Jun 2022
From Attribution Maps to Human-Understandable Explanations through Concept Relevance Propagation Reduan Achtibat Maximilian Dreyer Ilona Eisenbraun S. Bosse Thomas Wiegand Wojciech Samek Sebastian Lapuschkin FAtt 87 149 0 07 Jun 2022
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Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data H. Yuan Shing Chan Andrew P. Creagh C. Tong Aidan Acquah David Clifton Aiden Doherty SSL 103 92 0 06 Jun 2022
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Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc Explanations Tessa Han Suraj Srinivas Himabindu Lakkaraju FAtt 120 89 0 02 Jun 2022
Positive Unlabeled Contrastive Learning Anish Acharya Sujay Sanghavi Li Jing Bhargav Bhushanam Dhruv Choudhary Michael G. Rabbat Inderjit Dhillon SSL 62 11 0 01 Jun 2022
Exact Feature Collisions in Neural Networks Utku Ozbulak Manvel Gasparyan Shodhan Rao W. D. Neve Arnout Van Messem AAML 54 1 0 31 May 2022
Comparing interpretation methods in mental state decoding analyses with deep learning models A. Thomas Christopher Ré R. Poldrack AI4CE 69 2 0 31 May 2022
CHALLENGER: Training with Attribution Maps Christian Tomani Daniel Cremers 22 1 0 30 May 2022
Saliency Map Based Data Augmentation Jalal Al-Afandi B. Magyar András Horváth 43 0 0 29 May 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks Yu Pan Zeyong Su Ao Liu Jingquan Wang Nannan Li Zenglin Xu 72 11 0 28 May 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior Eldar David Abraham Karel DÓosterlinck Amir Feder Y. Gat Atticus Geiger Christopher Potts Roi Reichart Zhengxuan Wu CML 122 47 0 27 May 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition Yue Song N. Sebe Wei Wang 103 35 0 26 May 2022
Interpretation Quality Score for Measuring the Quality of interpretability methods Sean Xie Soroush Vosoughi Saeed Hassanpour XAI 111 5 0 24 May 2022
What You See is What You Classify: Black Box Attributions Steven Stalder Nathanael Perraudin R. Achanta Fernando Perez-Cruz Michele Volpi FAtt 78 10 0 23 May 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 107 2 0 22 May 2022
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification Jungeum Kim Tianlin Li OOD AAML 26 3 0 20 May 2022
Towards Better Understanding Attribution Methods Sukrut Rao Moritz Bohle Bernt Schiele XAI 89 33 0 20 May 2022
B-cos Networks: Alignment is All We Need for Interpretability Moritz D Boehle Mario Fritz Bernt Schiele 109 86 0 20 May 2022
FIND:Explainable Framework for Meta-learning Xinyue Shao Hongzhi Wang Xiao-Wen Zhu Feng Xiong FedML 39 2 0 20 May 2022
A Boosting Algorithm for Positive-Unlabeled Learning Yawen Zhao Mingzhe Zhang Chenhao Zhang Tony Chen N. Ye Miao Xu 59 3 0 19 May 2022
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability Jinwei Xing Takashi Nagata Xinyun Zou Emre Neftci J. Krichmar AAML 61 4 0 18 May 2022
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual Networks Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim 45 4 0 15 May 2022
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets Louise Bloch Christoph M. Friedrich 26 14 0 12 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A Survey Cristiano Patrício João C. Neves Luís F. Teixeira XAI 91 58 0 10 May 2022
Task-specific Compression for Multi-task Language Models using Attribution-based Pruning Nakyeong Yang Yunah Jang Hwanhee Lee Seohyeong Jung Kyomin Jung 28 8 0 09 May 2022
Understanding CNNs from excitations Zijian Ying Qianmu Li Zhichao Lian Jun Hou Tong Lin Tao Wang AAML FAtt 85 1 0 02 May 2022
Exposing Deepfake Face Forgeries with Guided Residuals Zhiqing Guo Gaobo Yang Jiyou Chen Xingming Sun CVBM 61 27 0 02 May 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 46 5 0 25 Apr 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding Shenmin Zhang Jin Wang Haitao Jiang Rui Song FAtt 69 3 0 22 Apr 2022
Feature anomaly detection system (FADS) for intelligent manufacturing Anthony P. Garland Kevin M. Potter Matt Smith 25 3 0 21 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 109 144 0 18 Apr 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging Elina Thibeau-Sutre S. Collin Ninon Burgos O. Colliot 45 5 0 14 Apr 2022