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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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Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability Utku Ozbulak Jonathan Peck W. D. Neve Bart Goossens Yvan Saeys Arnout Van Messem AAML 34 2 0 07 Jul 2020
ARC-Net: Activity Recognition Through Capsules H. Damirchi Rooholla Khorrambakht H. Taghirad HAI 30 13 0 06 Jul 2020
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu Chen Liu Donghao Li Xinwei Sun Jinshan Zeng Yuan Yao 39 9 0 04 Jul 2020
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning Karol Gotkowski Camila González A. Bucher Anirban Mukhopadhyay 3DPC MedIm 21 46 0 01 Jul 2020
Future Urban Scenes Generation Through Vehicles Synthesis A. Simoni Luca Bergamini Andrea Palazzi Simone Calderara Rita Cucchiara 31 3 0 01 Jul 2020
A Data-driven Neural Network Architecture for Sentiment Analysis Erion Çano M. Morisio 27 12 0 30 Jun 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 123 66 0 26 Jun 2020
Influence Functions in Deep Learning Are Fragile S. Basu Phillip E. Pope Soheil Feizi TDI 156 237 0 25 Jun 2020
SS-CAM: Smoothed Score-CAM for Sharper Visual Feature Localization Haofan Wang Rakshit Naidu J. Michael Soumya Snigdha Kundu FAtt 126 80 0 25 Jun 2020
Interpretation of 3D CNNs for Brain MRI Data Classification M. Kan Ruslan Aliev́ A. Rudenko Nikita Drobyshev Nikita Petrashen E. Kondrateva M. Sharaev A. Bernstein Evgeny Burnaev DiffM 46 0 0 20 Jun 2020
Embedded Encoder-Decoder in Convolutional Networks Towards Explainable AI A. Tavanaei XAI 97 31 0 19 Jun 2020
A generalizable saliency map-based interpretation of model outcome Shailja Thakur S. Fischmeister AAML FAtt MILM 37 2 0 16 Jun 2020
Visualization for Histopathology Images using Graph Convolutional Neural Networks M. Sureka Abhijeet Patil Deepak Anand A. Sethi FAtt GNN MedIm 66 36 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 36 40 0 16 Jun 2020
An empirical study on using CNNs for fast radio signal prediction Ozan Ozyegen Sanaz Mohammadjafari Karim El mokhtari Mucahit Cevik J. Ethier Ayse Basar 63 13 0 16 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 184 39 0 16 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 182 608 0 16 Jun 2020
ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping Cher Bass Mariana da Silva Carole Sudre Petru-Daniel Tudosiu Stephen M. Smith E. C. Robinson FAtt 58 40 0 15 Jun 2020
Classifying degraded images over various levels of degradation Kazuki Endo Masayuki Tanaka Masatoshi Okutomi 31 15 0 15 Jun 2020
Sparsity Turns Adversarial: Energy and Latency Attacks on Deep Neural Networks Sarada Krithivasan Sanchari Sen A. Raghunathan AAML 37 1 0 14 Jun 2020
On Saliency Maps and Adversarial Robustness Puneet Mangla Vedant Singh V. Balasubramanian AAML 47 17 0 14 Jun 2020
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation Masahiro Kato Takeshi Teshima 96 36 0 12 Jun 2020
Multi Layer Neural Networks as Replacement for Pooling Operations Wolfgang Fuhl Enkelejda Kasneci 82 10 0 12 Jun 2020
SegNBDT: Visual Decision Rules for Segmentation Alvin Wan Daniel Ho You Song Henk Tillman Sarah Adel Bargal Joseph E. Gonzalez SSeg 108 6 0 11 Jun 2020
3D Point Cloud Feature Explanations Using Gradient-Based Methods A. Gupta Simon Watson Hujun Yin 3DPC 46 28 0 09 Jun 2020
Adversarial Infidelity Learning for Model Interpretation Jian Liang Bing Bai Yuren Cao Kun Bai Fei Wang AAML 103 18 0 09 Jun 2020
The Curious Case of Convex Neural Networks S. Sivaprasad Ankur Singh Naresh Manwani Vineet Gandhi 112 27 0 09 Jun 2020
The Penalty Imposed by Ablated Data Augmentation Frederick Liu A. Najmi Mukund Sundararajan 56 6 0 08 Jun 2020
Discovering Parametric Activation Functions G. Bingham Risto Miikkulainen ODL 74 73 0 05 Jun 2020
Robust Sampling in Deep Learning Aurora Cobo Aguilera Antonio Artés-Rodríguez Fernando Pérez-Cruz Pablo Martínez Olmos OOD 22 1 0 04 Jun 2020
XGNN: Towards Model-Level Explanations of Graph Neural Networks Haonan Yuan Jiliang Tang Helen Zhou Shuiwang Ji 105 402 0 03 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images S. Chatterjee Fatima Saad Chompunuch Sarasaen Suhita Ghosh Valerie Krug ... Petia Radeva G. Rose Sebastian Stober Oliver Speck A. Nürnberger 104 26 0 03 Jun 2020
Interpretation of ResNet by Visualization of Preferred Stimulus in Receptive Fields Genta Kobayashi Hayaru Shouno 29 4 0 02 Jun 2020
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization Yangyang Xu Yibo Xu 69 25 0 31 May 2020
Reconstructing undersampled photoacoustic microscopy images using deep learning Anthony DiSpirito Daiwei Li Tri Vu Maomao Chen D. Zhang Jianwen Luo R. Horstmeyer Junjie Yao 44 97 0 30 May 2020
StressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction Haoliang Jiang Zhenguo Nie Roselyn Yeo A. Farimani Levent Burak Kara GAN 90 18 0 30 May 2020
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods Weimin Zhou Hua Li M. Anastasio 31 30 0 29 May 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 102 502 0 28 May 2020
Bridging the gap between Natural and Medical Images through Deep Colorization Lia Morra Luca Piano Fabrizio Lamberti Tatiana Tommasi MedIm 59 15 0 21 May 2020
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes William Caicedo-Torres Jairo Gutiérrez 60 3 0 19 May 2020
Local and Global Explanations of Agent Behavior: Integrating Strategy Summaries with Saliency Maps Tobias Huber Katharina Weitz Elisabeth André Ofra Amir FAtt 77 67 0 18 May 2020
Non-Linearities Improve OrigiNet based on Active Imaging for Micro Expression Recognition Monu Verma Santosh Kumar Vipparthi Girdhari Singh 60 15 0 16 May 2020
Multi-level Feature Fusion-based CNN for Local Climate Zone Classification from Sentinel-2 Images: Benchmark Results on the So2Sat LCZ42 Dataset C. Qiu Xiaochong Tong M. Schmitt B. Bechtel Xiaoxiang Zhu 82 54 0 16 May 2020
ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network David Gschwend 55 64 0 14 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier Liang Huang You Zhang Weijian Pan Jinyin Chen L. Qian Yuan Wu 41 32 0 03 May 2020
A survey on modern trainable activation functions Andrea Apicella Francesco Donnarumma Francesco Isgrò R. Prevete 112 378 0 02 May 2020
Towards Visually Explaining Video Understanding Networks with Perturbation Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato FAtt 38 3 0 01 May 2020
Hide-and-Seek: A Template for Explainable AI Thanos Tagaris A. Stafylopatis 26 6 0 30 Apr 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 120 382 0 30 Apr 2020
Do We Need Fully Connected Output Layers in Convolutional Networks? Zhongchao Qian Tyler L. Hayes Kushal Kafle Christopher Kanan 49 9 0 28 Apr 2020