v1v2v3 (latest)

Striving for Simplicity: The All Convolutional Net

21 December 2014

Jost Tobias Springenberg

Alexey Dosovitskiy

Thomas Brox

Martin Riedmiller

FAtt

ArXiv (abs)PDF HTML

Papers citing "Striving for Simplicity: The All Convolutional Net"

50 / 1,866 papers shown

Title
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness Adam Noack Isaac Ahern Dejing Dou Boyang Albert Li OOD AAML 158 10 0 07 Dec 2019
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty Dan Hendrycks Norman Mu E. D. Cubuk Barret Zoph Justin Gilmer Balaji Lakshminarayanan OOD UQCV 192 1,313 0 05 Dec 2019
Extending the Morphological Hit-or-Miss Transform to Deep Neural Networks Muhammad Aminul Islam Bryce J. Murray A. Buck Derek T. Anderson G. Scott M. Popescu James M. Keller 43 2 0 04 Dec 2019
Optimizing the energy consumption of spiking neural networks for neuromorphic applications M. Sorbaro Li-Yu Daisy Liu Massimo Bortone Sadique Sheik 100 69 0 03 Dec 2019
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 65 305 0 03 Dec 2019
DeepLofargram: A Deep Learning based Fluctuating Dim Frequency Line Detection and Recovery Yina Han Yu-yang Li Qingyu Liu Yuanliang Ma 21 11 0 02 Dec 2019
Interpreting Deep Learning Features for Myoelectric Control: A Comparison with Handcrafted Features Ulysse Côté-Allard Evan Campbell A. Phinyomark François Laviolette Benoit Gosselin Erik J. Scheme 55 95 0 30 Nov 2019
Federated Learning with Autotuned Communication-Efficient Secure Aggregation Keith Bonawitz Fariborz Salehi Jakub Konecný H. B. McMahan Marco Gruteser FedML 100 75 0 30 Nov 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 98 10 0 29 Nov 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances Weina Jin M. Fatehi Kumar Abhishek Mayur Mallya B. Toyota Ghassan Hamarneh 91 42 0 28 Nov 2019
Orthogonal Convolutional Neural Networks Jiayun Wang Yubei Chen Rudrasis Chakraborty Stella X. Yu 89 190 0 27 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 117 369 0 27 Nov 2019
Electricity Load Forecasting -- An Evaluation of Simple 1D-CNN Network Structures Christian Lang F. Steinborn Oliver Steffens E. Lang AI4TS 22 12 0 26 Nov 2019
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets Ameya Prabhu Riddhiman Dasgupta A. Sankaran Srikanth G. Tamilselvam Senthil Mani 45 0 0 26 Nov 2019
Efficient Saliency Maps for Explainable AI T. Nathan Mundhenk Barry Y. Chen Gerald Friedland XAI FAtt 70 77 0 26 Nov 2019
Improving Feature Attribution through Input-specific Network Pruning Ashkan Khakzar Soroosh Baselizadeh Saurabh Khanduja Christian Rupprecht S. T. Kim Nassir Navab FAtt 58 11 0 25 Nov 2019
A psychophysics approach for quantitative comparison of interpretable computer vision models F. Biessmann D. Refiano 60 5 0 24 Nov 2019
Visualizing Point Cloud Classifiers by Curvature Smoothing Ziwen Chen Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 56 5 0 23 Nov 2019
Implementation of Optical Deep Neural Networks using the Fabry-Perot Interferometer Benjamin D. Steel 48 0 0 22 Nov 2019
A CNN-RNN Framework for Crop Yield Prediction S. Khaki Lizhi Wang S. Archontoulis 84 450 0 20 Nov 2019
Towards a Unified Evaluation of Explanation Methods without Ground Truth Hao Zhang Jiayi Chen Haotian Xue Quanshi Zhang XAI 71 8 0 20 Nov 2019
Inspect Transfer Learning Architecture with Dilated Convolution Syeda Noor Jaha Azim Md. Aminur Rab Ratul 31 0 0 20 Nov 2019
Visualization approach to assess the robustness of neural networks for medical image classification Elina Thibeau-Sutre O. Colliot Didier Dormont Ninon Burgos 55 15 0 19 Nov 2019
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 68 24 0 18 Nov 2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations Xijie Huang M. Alzantot Mani B. Srivastava AAML 86 106 0 18 Nov 2019
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning B. Gaudet R. Linares R. Furfaro 27 1 0 16 Nov 2019
BiNet: Degraded-Manuscript Binarization in Diverse Document Textures and Layouts using Deep Encoder-Decoder Networks Maruf A. Dhali Jan Willem de Wit Lambert Schomaker 31 15 0 13 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks Aditya Golatkar Alessandro Achille Stefano Soatto CLL MU 114 506 0 12 Nov 2019
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection Vicent Sanz Marco Ben Taylor Ziyi Wang Y. Elkhatib 70 61 0 09 Nov 2019
Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting Ahmed Ben Saad Y. Tamaazousti J. Kherroubi A. He 19 2 0 06 Nov 2019
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation J. Blumenkamp Andrea S. Baude Tim Laue 29 6 0 04 Nov 2019
XDeep: An Interpretation Tool for Deep Neural Networks Fan Yang Zijian Zhang Haofan Wang Yuening Li Helen Zhou XAI HAI 37 2 0 04 Nov 2019
Leveraging Pretrained Image Classifiers for Language-Based Segmentation David Golub Ahmed El-Kishky Roberto Martín-Martín VLM 84 4 0 03 Nov 2019
Enhanced Convolutional Neural Tangent Kernels Zhiyuan Li Ruosong Wang Dingli Yu S. Du Wei Hu Ruslan Salakhutdinov Sanjeev Arora 76 133 0 03 Nov 2019
Explanation by Progressive Exaggeration Sumedha Singla Brian Pollack Junxiang Chen Kayhan Batmanghelich FAtt MedIm 130 103 0 01 Nov 2019
Concept Saliency Maps to Visualize Relevant Features in Deep Generative Models L. Brocki N. C. Chung FAtt 45 21 0 29 Oct 2019
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits Uttaran Bhattacharya Trisha Mittal Rohan Chandra Tanmay Randhavane Aniket Bera Tianyi Zhou CVBM 133 102 0 28 Oct 2019
A Game Theoretic Approach to Class-wise Selective Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 66 62 0 28 Oct 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks Aya Abdelsalam Ismail Mohamed K. Gunady L. Pessoa H. C. Bravo Soheil Feizi AI4TS 105 50 0 27 Oct 2019
Inherent Weight Normalization in Stochastic Neural Networks Georgios Detorakis S. Dutta A. Khanna M. Jerry S. Datta Emre Neftci OOD 40 6 0 27 Oct 2019
Seeing What a GAN Cannot Generate David Bau Jun-Yan Zhu Jonas Wulff William S. Peebles Hendrik Strobelt Bolei Zhou Antonio Torralba GAN 104 310 0 24 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 237 6,383 0 22 Oct 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 106 150 0 22 Oct 2019
Recovering Localized Adversarial Attacks Jan Philip Göpfert H. Wersing Barbara Hammer AAML FAtt 19 4 0 21 Oct 2019
Contextual Prediction Difference Analysis for Explaining Individual Image Classifications Jindong Gu Volker Tresp FAtt 51 8 0 21 Oct 2019
Semantics for Global and Local Interpretation of Deep Neural Networks Jindong Gu Volker Tresp AI4CE 74 14 0 21 Oct 2019
Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach Nan Lu Tianyi Zhang Gang Niu Masashi Sugiyama 112 56 0 20 Oct 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks Ruth C. Fong Mandela Patrick Andrea Vedaldi AAML 115 421 0 18 Oct 2019
First-Order Preconditioning via Hypergradient Descent Theodore H. Moskovitz Rui Wang Janice Lan Sanyam Kapoor Thomas Miconi J. Yosinski Aditya Rawal AI4CE 79 8 0 18 Oct 2019