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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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Extracting Causal Visual Features for Limited label Classification Mohit Prabhushankar Ghassan AlRegib CML 67 21 0 23 Mar 2021
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ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Helen Zhou G. Gu AAML 120 4 0 22 Mar 2021
Robust Models Are More Interpretable Because Attributions Look Normal Zifan Wang Matt Fredrikson Anupam Datta OOD FAtt 83 26 0 20 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 120 51 0 20 Mar 2021
MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels Pablo Gómez Gabriele Meoni 104 36 0 18 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 98 57 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 103 77 0 18 Mar 2021
Sampling-free Variational Inference for Neural Networks with Multiplicative Activation Noise Jannik Schmitt Stefan Roth UQCV 57 6 0 15 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 99 223 0 09 Mar 2021
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder Takuya Kurihana Elisabeth Moyer Rebecca Willett Davis Gilton Ian Foster 13 17 0 08 Mar 2021
Time and Frequency Network for Human Action Detection in Videos Changhai Li Huawei Chen Jingqing Lu Yang Huang Yingying Liu 3DH AI4TS 68 2 0 08 Mar 2021
Parser-Free Virtual Try-on via Distilling Appearance Flows Yuying Ge Yibing Song Ruimao Zhang Chongjian Ge Wei Liu Ping Luo DiffM 61 189 0 08 Mar 2021
Explanations for Occluded Images Hana Chockler Daniel Kroening Youcheng Sun 143 21 0 05 Mar 2021
ICAM-reg: Interpretable Classification and Regression with Feature Attribution for Mapping Neurological Phenotypes in Individual Scans Cher Bass Mariana da Silva Carole Sudre Logan Z. J. Williams Petru-Daniel Tudosiu F. Alfaro-Almagro S. Fitzgibbon M. Glasser Stephen M. Smith E. C. Robinson 69 27 0 03 Mar 2021
Touchless Palmprint Recognition based on 3D Gabor Template and Block Feature Refinement Zhaoqun Li Xu Liang Dandan Fan Jinxing Li Wei Jia David Zhang 67 17 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 166 72 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 53 47 0 28 Feb 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 97 53 0 26 Feb 2021
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging Sarthak Pati Siddhesh P. Thakur İbrahim Ethem Hamamcı Ujjwal Baid Bhakti Baheti ... D. Kontos Alexandros Karargyris Renato Umeton Peter Mattson Spyridon Bakas LM&MA MedIm 156 46 0 26 Feb 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 120 59 0 25 Feb 2021
On the Impact of Interpretability Methods in Active Image Augmentation Method F. Santos Cleber Zanchettin L. Matos P. Novais AAML 35 2 0 24 Feb 2021
Do Transformer Modifications Transfer Across Implementations and Applications? Sharan Narang Hyung Won Chung Yi Tay W. Fedus Thibault Févry ... Wei Li Nan Ding Jake Marcus Adam Roberts Colin Raffel 100 128 0 23 Feb 2021
Rethinking Natural Adversarial Examples for Classification Models Xiao-Li Li Jianmin Li Ting Dai Jie Shi Jun Zhu Xiaolin Hu AAML VLM 128 13 0 23 Feb 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping Jessica Cooper Ognjen Arandjelovic David J. Harrison AAML 132 13 0 22 Feb 2021
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases Xuehao Liu Sarah Jane Delany Susan Mckeever 27 0 0 22 Feb 2021
Convolutional Normalization M. Esposito Nader Ganaba 65 0 0 19 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 85 4 0 18 Feb 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 64 13 0 17 Feb 2021
Centroid Transformers: Learning to Abstract with Attention Lemeng Wu Xingchao Liu Qiang Liu 3DPC 103 29 0 17 Feb 2021
Attribution Mask: Filtering Out Irrelevant Features By Recursively Focusing Attention on Inputs of DNNs Jaehwan Lee Joon‐Hyuk Chang TDI FAtt 98 0 0 15 Feb 2021
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset Chuizheng Meng Loc Trinh Nan Xu Yan Liu 67 30 0 12 Feb 2021
Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks Frank Schneider Felix Dangel Philipp Hennig 74 10 0 12 Feb 2021
On Explainability of Graph Neural Networks via Subgraph Explorations Hao Yuan Haiyang Yu Jie Wang Kang Li Shuiwang Ji FAtt 83 396 0 09 Feb 2021
Interpretable Neural Networks based classifiers for categorical inputs S. Zamuner P. Rios FAtt MILM 40 6 0 05 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 104 9 0 05 Feb 2021
Convolutional Neural Network Interpretability with General Pattern Theory Erico Tjoa Cuntai Guan FAtt AI4CE 39 6 0 05 Feb 2021
CrossNorm and SelfNorm for Generalization under Distribution Shifts Zhiqiang Tang Yunhe Gao Yi Zhu Zhi-Li Zhang Mu Li Dimitris N. Metaxas OOD 84 54 0 04 Feb 2021
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks Yuanyuan Chen Boyang Albert Li Han Yu Pengcheng Wu Chunyan Miao TDI 102 42 0 04 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 141 505 0 03 Feb 2021
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals Ramiro Casal L. D. Persia G. Schlotthauer MLAU 23 19 0 29 Jan 2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning Matthew Lyle Olson Roli Khanna Lawrence Neal Fuxin Li Weng-Keen Wong CML 92 75 0 29 Jan 2021
Shape or Texture: Understanding Discriminative Features in CNNs Md. Amirul Islam M. Kowal Patrick Esser Sen Jia Bjorn Ommer Konstantinos G. Derpanis Neil D. B. Bruce 93 77 0 27 Jan 2021
Deep One-Class Classification via Interpolated Gaussian Descriptor Yuanhong Chen Yu Tian Guansong Pang G. Carneiro VLM 158 100 0 25 Jan 2021
Applications of Deep Learning in Fundus Images: A Review Tao Li Wang Bo Chunyu Hu Hong Kang Hanruo Liu Kai Wang Huazhu Fu 61 261 0 25 Jan 2021
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Shihao Zhao Xingjun Ma Yisen Wang James Bailey Yue Liu Yu-Gang Jiang AAML 73 15 0 18 Jan 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations I. Sledge José C. Príncipe 65 2 0 18 Jan 2021
Generating Attribution Maps with Disentangled Masked Backpropagation Adria Ruiz Antonio Agudo Francesc Moreno FAtt 40 1 0 17 Jan 2021
Hyperspectral Image Classification-Traditional to Deep Models: A Survey for Future Prospects Muhammad Ahmad Sidrah Shabbir Swalpa Kumar Roy Danfeng Hong Xin Wu Jing Yao A. Khan Manuel Mazzara Salvatore Distefano Jocelyn Chanussot 170 261 0 15 Jan 2021
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data Gaurav Kumar Nayak Konda Reddy Mopuri Saksham Jain Anirban Chakraborty 68 14 0 15 Jan 2021