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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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Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Networks Wen Tang Émilie Chouzenoux J. Pesquet Hamid Krim 64 14 0 18 Feb 2020
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Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning Abhijeet Patil Dipesh Tamboli S. Meena Deepak Anand A. Sethi 33 24 0 16 Feb 2020
HypoML: Visual Analysis for Hypothesis-based Evaluation of Machine Learning Models Qianwen Wang W. Alexander J. Pegg Huamin Qu Min Chen VLM 63 10 0 12 Feb 2020
Self-explaining AI as an alternative to interpretable AI Daniel C. Elton 94 56 0 12 Feb 2020
Fine-grained Uncertainty Modeling in Neural Networks Rahul Soni Naresh Shah J. D. Moore UQCV 24 5 0 11 Feb 2020
Adversarial TCAV -- Robust and Effective Interpretation of Intermediate Layers in Neural Networks Rahul Soni Naresh Shah Chua Tat Seng J. D. Moore AAML FAtt 24 8 0 10 Feb 2020
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement Zhun Fan Chong Li Ying Chen P. D. Mascio Xiaopeng Chen Guijie Zhu G. Loprencipe 59 125 0 08 Feb 2020
Time-aware Large Kernel Convolutions Vasileios Lioutas Yuhong Guo AI4TS 97 29 0 08 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 115 91 0 07 Feb 2020
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs Yuma Kinoshita Hitoshi Kiya 50 19 0 06 Feb 2020
CHAIN: Concept-harmonized Hierarchical Inference Interpretation of Deep Convolutional Neural Networks Dan Wang Xinrui Cui F. I. Z. Jane Wang AI4CE 15 14 0 05 Feb 2020
Supporting DNN Safety Analysis and Retraining through Heatmap-based Unsupervised Learning Hazem M. Fahmy F. Pastore M. Bagherzadeh Lionel C. Briand AI4CE AAML 71 30 0 03 Feb 2020
DANCE: Enhancing saliency maps using decoys Y. Lu Wenbo Guo Masashi Sugiyama William Stafford Noble AAML 85 14 0 03 Feb 2020
Regularizing Reasons for Outfit Evaluation with Gradient Penalty Xingxing Zou Zhizhong Li Ke Bai Dahua Lin W. Wong 37 6 0 02 Feb 2020
Optimizing Loss Functions Through Multivariate Taylor Polynomial Parameterization Santiago Gonzalez Risto Miikkulainen 55 9 0 31 Jan 2020
Localizing Interpretable Multi-scale informative Patches Derived from Media Classification Task Chuanguang Yang Zhulin An Xiaolong Hu Hui Zhu Yongjun Xu 19 0 0 31 Jan 2020
Black-Box Saliency Map Generation Using Bayesian Optimisation Mamuku Mokuwe Michael G. Burke Anna Sergeevna Bosman FAtt 34 4 0 30 Jan 2020
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas Nishant Kumar Nico Hoffmann M. Kirsch Stefan Gumhold MedIm 36 3 0 26 Jan 2020
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs N. Gessert Alexander Schlaefer CVBM 30 1 0 25 Jan 2020
Evaluating Weakly Supervised Object Localization Methods Right Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim WSOL 408 189 0 21 Jan 2020
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices Xiaolong Ma Wei Niu Tianyun Zhang Sijia Liu Sheng Lin ... Xiang Chen Jian Tang Kaisheng Ma Bin Ren Yanzhi Wang 103 27 0 20 Jan 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 109 846 0 20 Jan 2020
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition S. Raschka Benjamin Kaufman AI4CE 81 67 0 17 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 112 105 0 16 Jan 2020
Multi-site fMRI Analysis Using Privacy-preserving Federated Learning and Domain Adaptation: ABIDE Results Xiaoxiao Li Yufeng Gu Nicha Dvornek Lawrence H. Staib P. Ventola James S. Duncan FedML OOD 114 363 0 16 Jan 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 109 23 0 16 Jan 2020
Extending Class Activation Mapping Using Gaussian Receptive Field Bum Jun Kim Gyogwon Koo Hyeyeon Choi Sang Woo Kim 38 7 0 15 Jan 2020
Relevance Prediction from Eye-movements Using Semi-interpretable Convolutional Neural Networks Nilavra Bhattacharya Somnath Rakshit J. Gwizdka P. Kogut 128 25 0 15 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 317 0 08 Jan 2020
Convolutional Networks with Dense Connectivity Gao Huang Zhuang Liu Geoff Pleiss Laurens van der Maaten Kilian Q. Weinberger 3DV 80 457 0 08 Jan 2020
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning Models Jiamei Sun Sebastian Lapuschkin Wojciech Samek Alexander Binder FAtt 98 30 0 04 Jan 2020
Restricting the Flow: Information Bottlenecks for Attribution Karl Schulz Leon Sixt Federico Tombari Tim Landgraf FAtt 67 192 0 02 Jan 2020
BackPACK: Packing more into backprop Felix Dangel Frederik Kunstner Philipp Hennig ODL 109 103 0 23 Dec 2019
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 82 79 0 23 Dec 2019
Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification Bennet Breier A. Onken 36 4 0 20 Dec 2019
When Explanations Lie: Why Many Modified BP Attributions Fail Leon Sixt Maximilian Granz Tim Landgraf BDL FAtt XAI 96 132 0 20 Dec 2019
LS-Net: Fast Single-Shot Line-Segment Detector Van Nhan Nguyen Robert Jenssen D. Roverso 59 52 0 19 Dec 2019
Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball Andrew Elliott Stephen Law Chris Russell AAML 55 4 0 19 Dec 2019
Semantic Segmentation from Remote Sensor Data and the Exploitation of Latent Learning for Classification of Auxiliary Tasks B. Chatterjee Charalambos (Charis) Poullis SSeg 33 17 0 19 Dec 2019
$n$ -ML: Mitigating Adversarial Examples via Ensembles of Topologically Manipulated Classifiers Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 46 6 0 19 Dec 2019
Learning Regional Attraction for Line Segment Detection Nan Xue S. Bai Fudong Wang Guisong Xia Tianfu Wu Liangpei Zhang Philip Torr 74 32 0 18 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
Angular Learning: Toward Discriminative Embedded Features J.‐T. Wu L.Wang CVBM 34 1 0 17 Dec 2019
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices Delia Velasco-Montero Jorge Fernández-Berni R. Carmona-Galán Á. Rodríguez-Vázquez 39 21 0 13 Dec 2019
Zooming into Face Forensics: A Pixel-level Analysis Jia Li T. Shen Wei Zhang Hui Ren Dan Zeng Tao Mei CVBM 65 17 0 12 Dec 2019
SKD: Keypoint Detection for Point Clouds using Saliency Estimation Georgi Tinchev Adrian Penate-Sanchez Maurice F. Fallon 3DPC 23 2 0 10 Dec 2019
Deep Relevance Regularization: Interpretable and Robust Tumor Typing of Imaging Mass Spectrometry Data Christian Etmann Maximilian Schmidt Jens Behrmann T. Boskamp Lena Hauberg-Lotte Annette Peter R. Casadonte J. Kriegsmann Peter Maass OOD 37 2 0 10 Dec 2019
Understanding 3D CNN Behavior for Alzheimer's Disease Diagnosis from Brain PET Scan Jyoti Islam Yanqing Zhang MedIm 38 22 0 10 Dec 2019
Exploratory Not Explanatory: Counterfactual Analysis of Saliency Maps for Deep Reinforcement Learning Akanksha Atrey Kaleigh Clary David D. Jensen FAtt LRM 82 91 0 09 Dec 2019