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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DVM-CAR: A large-scale automotive dataset for visual marketing research and applications JingMin Huang Bowei Chen Lan Luo Shigang Yue I. Ounis 28 15 0 10 Aug 2021
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Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity Thomas A. Langlois H. C. Zhao Erin Grant Ishita Dasgupta Thomas L. Griffiths Nori Jacoby 47 15 0 14 Jul 2021
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Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 21 1 0 23 Jun 2021
CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian 27 54 0 20 Jun 2021
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Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
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Causal Abstractions of Neural Networks Atticus Geiger Hanson Lu Thomas Icard Christopher Potts NAI CML 17 218 0 06 Jun 2021
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ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition S. Verbitskiy Vladimir Berikov Viacheslav Vyshegorodtsev 24 73 0 03 Jun 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 29 139 0 17 May 2021
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Sanity Simulations for Saliency Methods Joon Sik Kim Gregory Plumb Ameet Talwalkar FAtt 38 17 0 13 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan FedML 38 36 0 10 May 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 49 77 0 24 Apr 2021
Deep Transform and Metric Learning Networks Wen Tang Émilie Chouzenoux J. Pesquet Hamid Krim 24 4 0 21 Apr 2021
Revisiting The Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis Samuele Poppi Marcella Cornia Lorenzo Baraldi Rita Cucchiara FAtt 131 33 0 20 Apr 2021
Improving Attribution Methods by Learning Submodular Functions Piyushi Manupriya Tarun Ram Menta S. Jagarlapudi V. Balasubramanian TDI 24 6 0 19 Apr 2021
Knowledge Neurons in Pretrained Transformers Damai Dai Li Dong Y. Hao Zhifang Sui Baobao Chang Furu Wei KELM MU 19 417 0 18 Apr 2021
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks Meghna P. Ayyar J. Benois-Pineau A. Zemmari FAtt 24 17 0 06 Apr 2021
Evaluating explainable artificial intelligence methods for multi-label deep learning classification tasks in remote sensing Ioannis Kakogeorgiou Konstantinos Karantzalos XAI 23 118 0 03 Apr 2021
LiftPool: Bidirectional ConvNet Pooling Jiaojiao Zhao Cees G. M. Snoek 8 19 0 02 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features Ashkan Khakzar Yang Zhang W. Mansour Yuezhi Cai Yawei Li Yucheng Zhang Seong Tae Kim Nassir Navab FAtt 52 17 0 01 Apr 2021
Multi-Modal RGB-D Scene Recognition Across Domains Andrea Ferreri S. Bucci Tatiana Tommasi 27 6 0 26 Mar 2021
Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks Qing-Long Zhang Lu Rao Yubin Yang 16 58 0 25 Mar 2021
Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 19 21 0 23 Mar 2021
Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse YuXiang Liu Jidong Ge Chuanyi Li Jie Gui 21 2 0 22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 35 25 0 20 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 35 48 0 20 Mar 2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations Pau Rodríguez López Massimo Caccia Alexandre Lacoste L. Zamparo I. Laradji Laurent Charlin David Vazquez AAML 37 55 0 18 Mar 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 28 75 0 18 Mar 2021
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Time and Frequency Network for Human Action Detection in Videos Changhai Li Huawei Chen Jingqing Lu Yang Huang Yingying Liu 3DH AI4TS 13 2 0 08 Mar 2021
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Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement Zhaoqun Li Xu Liang Dandan Fan Jinxing Li Wei Jia David Zhang 33 16 0 03 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations N. Jethani Mukund Sudarshan Yindalon Aphinyanagphongs Rajesh Ranganath FAtt 82 70 0 02 Mar 2021
Predicting post-operative right ventricular failure using video-based deep learning R. Shad Nicolas Quach R. Fong P. Kasinpila C. Bowles ... Y. Woo J. Teuteberg John P. Cunningham C. Langlotz W. Hiesinger 22 40 0 28 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 23 57 0 25 Feb 2021
On the Impact of Interpretability Methods in Active Image Augmentation Method F. Santos Cleber Zanchettin L. Matos P. Novais AAML 19 2 0 24 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays Joseph Paul Cohen Rupert Brooks Sovann En Evan Zucker Anuj Pareek M. Lungren Akshay S. Chaudhari FAtt MedIm 37 4 0 18 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 24 30 0 12 Feb 2021
Convolutional Neural Network Interpretability with General Pattern Theory Erico Tjoa Cuntai Guan FAtt AI4CE 18 6 0 05 Feb 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 30 96 0 25 Jan 2021
Explaining the Black-box Smoothly- A Counterfactual Approach Junyu Chen Yong Du Yufan He W. Paul Segars Ye Li MedIm FAtt 65 100 0 11 Jan 2021