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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Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 16 19 0 12 Jul 2020
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping Koushik Nagasubramanian Asheesh K. Singh Arti Singh S. Sarkar Baskar Ganapathysubramanian FAtt 19 16 0 11 Jul 2020
Scientific Discovery by Generating Counterfactuals using Image Translation Arunachalam Narayanaswamy Subhashini Venugopalan D. Webster L. Peng G. Corrado ... Abigail E. Huang Siva Balasubramanian Michael P. Brenner Phil Q. Nelson A. Varadarajan DiffM MedIm 22 20 0 10 Jul 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective Parth Kothari S. Kreiss Alexandre Alahi HAI AI4TS 27 237 0 07 Jul 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy Sijia Liu Gaoyuan Zhang Cynthia Liu Pin-Yu Chen Shiyu Chang Luca Daniel AAML FAtt 27 66 0 26 Jun 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope S. Feizi TDI 37 219 0 25 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 27 79 0 25 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 12 31 0 19 Jun 2020
A generalizable saliency map-based interpretation of model outcome Shailja Thakur S. Fischmeister AAML FAtt MILM 22 2 0 16 Jun 2020
Interpretable multimodal fusion networks reveal mechanisms of brain cognition Wenxing Hu Xianghe Meng Yuntong Bai Aiying Zhang Biao Cai Gemeng Zhang T. Wilson Julia M. Stephen Vince D. Calhoun Yu-Ping Wang 6 35 0 16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 36 39 0 16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 42 593 0 16 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation Alvin Wan Daniel Ho You Song Henk Tillman Sarah Adel Bargal Joseph E. Gonzalez SSeg 9 6 0 11 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei Wang AAML 54 18 0 09 Jun 2020
The Curious Case of Convex Neural Networks S. Sivaprasad Ankur Singh Naresh Manwani Vineet Gandhi 46 26 0 09 Jun 2020
The Penalty Imposed by Ablated Data Augmentation Frederick Liu A. Najmi Mukund Sundararajan 23 6 0 08 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Xia Hu Shuiwang Ji 34 389 0 03 Jun 2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization Yangyang Xu Yibo Xu 17 23 0 31 May 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 35 482 0 28 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 21 64 0 18 May 2020
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition Monu Verma Santosh Kumar Vipparthi Girdhari Singh 29 15 0 16 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 35 64 0 14 May 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 36 366 0 02 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
Debiasing Skin Lesion Datasets and Models? Not So Fast Alceu Bissoto Eduardo Valle Sandra Avila 21 54 0 23 Apr 2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition Mohammad Reza Loghmani Yu Sun Eric Tzeng Trevor Darrell Alexei A. Efros Markus Vincze 29 33 0 21 Apr 2020
One-vs-Rest Network-based Deep Probability Model for Open Set Recognition Jaeyeon Jang Chang Ouk Kim UQCV 24 11 0 17 Apr 2020
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays S. Rajaraman Jenifer Siegelman P. Alderson Lucas S. Folio L. Folio Sameer Kiran Antani 16 265 0 16 Apr 2020
Farmland Parcel Delineation Using Spatio-temporal Convolutional Networks Han Lin Aung Burak Uzkent Marshall Burke David B. Lobell Stefano Ermon 24 34 0 11 Apr 2020
Compiling Spiking Neural Networks to Neuromorphic Hardware Shihao Song Adarsha Balaji Anup Das Nagarajan Kandasamy J. Shackleford 19 41 0 07 Apr 2020
TSInsight: A local-global attribution framework for interpretability in time-series data Shoaib Ahmed Siddiqui Dominique Mercier Andreas Dengel Sheraz Ahmed FAtt AI4TS 11 12 0 06 Apr 2020
Attribution in Scale and Space Shawn Xu Subhashini Venugopalan Mukund Sundararajan FAtt BDL 9 71 0 03 Apr 2020
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models Liam Hiley Alun D. Preece Y. Hicks Supriyo Chakraborty Prudhvi K. Gurram Richard J. Tomsett FAtt 25 14 0 31 Mar 2020
IMAC: In-memory multi-bit Multiplication andACcumulation in 6T SRAM Array M. Ali Akhilesh R. Jaiswal Sangamesh Kodge Amogh Agrawal I. Chakraborty Kaushik Roy MQ 11 84 0 27 Mar 2020
Automated Detection of Cribriform Growth Patterns in Prostate Histology Images P. Ambrosini E. Hollemans C. Kweldam G. Leenders S. Stallinga F. Vos MedIm 23 26 0 23 Mar 2020
LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units Guangli Li Lei Liu Xueying Wang Xiu Ma Xiaobing Feng MQ 16 18 0 19 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 44 82 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 150 0 16 Mar 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 211 232 0 16 Mar 2020
Measuring and improving the quality of visual explanations Agnieszka Grabska-Barwiñska XAI FAtt 24 3 0 14 Mar 2020
Explainable Deep Classification Models for Domain Generalization Andrea Zunino Sarah Adel Bargal Riccardo Volpi M. Sameki Jianming Zhang Stan Sclaroff Vittorio Murino Kate Saenko FAtt 16 39 0 13 Mar 2020
IROF: a low resource evaluation metric for explanation methods Laura Rieger Lars Kai Hansen 28 55 0 09 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 27 213 0 09 Mar 2020
Salient Facial Features from Humans and Deep Neural Networks Shan Sun Wei Zhen Teoh Michael Guerzhoy 3DH CVBM FAtt 26 0 0 08 Mar 2020
Can We Read Speech Beyond the Lips? Rethinking RoI Selection for Deep Visual Speech Recognition Yuanhang Zhang Shuang Yang Jingyun Xiao Shiguang Shan Xilin Chen 10 64 0 06 Mar 2020
Predicting Neural Network Accuracy from Weights Thomas Unterthiner Daniel Keysers Sylvain Gelly Olivier Bousquet Ilya O. Tolstikhin 30 101 0 26 Feb 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 89 0 07 Feb 2020
Fixed smooth convolutional layer for avoiding checkerboard artifacts in CNNs Yuma Kinoshita Hitoshi Kiya 28 19 0 06 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 43 30 0 03 Feb 2020
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas Nishant Kumar Nico Hoffmann M. Kirsch Stefan Gumhold MedIm 19 3 0 26 Jan 2020