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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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Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation Sebastian-Vasile Echim Iulian-Marius Taiatu Dumitru-Clementin Cercel Florin-Catalin Pop 89 1 0 30 Dec 2023
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution Ying Wang Tim G. J. Rudner Andrew Gordon Wilson 72 22 0 28 Dec 2023
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PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 57 3 0 19 Dec 2023
CAManim: Animating end-to-end network activation maps Emily Kaczmarek Olivier X. Miguel Alexa C. Bowie R. Ducharme Alysha L. J. Dingwall-Harvey S. Hawken Christine M. Armour Mark C. Walker Kevin Dick HAI 91 1 0 19 Dec 2023
Deep Learning Approaches for Seizure Video Analysis: A Review David Ahmedt-Aristizabal M. Armin Zeeshan Hayder Norberto Garcia-Cairasco Lars Petersson Clinton Fookes Simon Denman A. McGonigal 112 21 0 18 Dec 2023
Rethinking Robustness of Model Attributions Sandesh Kamath Sankalp Mittal Amit Deshpande Vineeth N. Balasubramanian 81 2 0 16 Dec 2023
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning Tom Nuno Wolf Fabian Bongratz Anne-Marie Rickmann Sebastian Polsterl Christian Wachinger AAML FAtt 71 6 0 15 Dec 2023
Principled Weight Initialization for Hypernetworks Oscar Chang Lampros Flokas Hod Lipson 79 77 0 13 Dec 2023
Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations Xiao Zhang David Yunis Michael Maire 52 4 0 11 Dec 2023
FM-G-CAM: A Holistic Approach for Explainable AI in Computer Vision Ravidu Suien Rammuni Silva Jordan J. Bird FAtt 53 1 0 10 Dec 2023
Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection Tuan Hoang Santu Rana Sunil R. Gupta Svetha Venkatesh BDL MU 79 21 0 07 Dec 2023
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Understanding the Vulnerability of CLIP to Image Compression Cangxiong Chen Vinay P. Namboodiri Julian Padget 48 2 0 23 Nov 2023
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? Francisco J. Martínez-Murcia Juan M Gorriz J. Ramírez A. Ortiz 39 75 0 21 Nov 2023
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion Ivo M. Baltruschat Parvaneh Janbakhshi Melanie Dohmen Matthias Lenga MedIm 76 2 0 20 Nov 2023
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning Daniel Jiménez-López Daniel Nuria Rodríguez Barroso Nuria M. V. Luzón M. Victoria Francisco Herrera Francisco AAML 52 0 0 20 Nov 2023
Video Face Re-Aging: Toward Temporally Consistent Face Re-Aging Abdul Muqeet Kyuchul Lee Bumsoo Kim Yohan Hong Hyungrae Lee Woonggon Kim Kwang Hee Lee 91 3 0 20 Nov 2023
Lite it fly: An All-Deformable-Butterfly Network Rui Lin Jason Chun Lok Li Jiajun Zhou Binxiao Huang Jie Ran Ngai Wong 54 1 0 14 Nov 2023
Evaluating Neighbor Explainability for Graph Neural Networks Oscar Llorente Rana Fawzy Jared Keown Michal Horemuz Péter Vaderna Sándor Laki Roland Kotroczó Rita Csoma János Márk Szalai-Gindl 33 0 0 14 Nov 2023
Greedy PIG: Adaptive Integrated Gradients Kyriakos Axiotis Sami Abu-El-Haija Lin Chen Matthew Fahrbach Gang Fu FAtt 60 0 0 10 Nov 2023
Zero-shot Translation of Attention Patterns in VQA Models to Natural Language Leonard Salewski A. Sophia Koepke Hendrik P. A. Lensch Zeynep Akata 63 2 0 08 Nov 2023
Explainable AI for Earth Observation: Current Methods, Open Challenges, and Opportunities G. Taşkın E. Aptoula Alp Ertürk 65 2 0 08 Nov 2023
Soundbay: Deep Learning Framework for Marine Mammals and Bioacoustic Research Noam Bressler Michael Faran Amit Galor Michael Moshe Michelashvili Tomer Nachshon Noa Weiss 59 0 0 07 Nov 2023
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Assessing Fidelity in XAI post-hoc techniques: A Comparative Study with Ground Truth Explanations Datasets Miquel Miró-Nicolau Antoni Jaume-i-Capó Gabriel Moyà Alcover XAI 104 11 0 03 Nov 2023
Proto-lm: A Prototypical Network-Based Framework for Built-in Interpretability in Large Language Models Sean Xie Soroush Vosoughi Saeed Hassanpour 117 4 0 03 Nov 2023
Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations Mackenzie J. Meni Trupti Mahendrakar Olivia D. M. Raney Ryan T. White Michael L. Mayo K. Pilkiewicz 74 2 0 03 Nov 2023
XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision Daniel Hajialigol Hanwen Liu Xuan Wang VLM 67 5 0 31 Oct 2023
Medical Image Denosing via Explainable AI Feature Preserving Loss Guanfang Dong Anup Basu MedIm 38 3 0 31 Oct 2023
Explaining the Decisions of Deep Policy Networks for Robotic Manipulations Seongun Kim Jaesik Choi 40 4 0 30 Oct 2023
CrossEAI: Using Explainable AI to generate better bounding boxes for Chest X-ray images Jinze Zhao MedIm 44 1 0 29 Oct 2023
Visual Explanations via Iterated Integrated Attributions Oren Barkan Yehonatan Elisha Yuval Asher Amit Eshel Noam Koenigstein FAtt XAI 43 18 0 28 Oct 2023
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike B. Gaudet K. Drozd R. Furfaro 26 1 0 27 Oct 2023
On the stability, correctness and plausibility of visual explanation methods based on feature importance Romain Xu-Darme Jenny Benois-Pineau R. Giot Georges Quénot Zakaria Chihani M. Rousset Alexey Zhukov XAI FAtt 73 1 0 25 Oct 2023
Sanity checks for patch visualisation in prototype-based image classification Romain Xu-Darme Georges Quénot Zakaria Chihani M. Rousset 58 6 0 25 Oct 2023
Sum-of-Parts: Self-Attributing Neural Networks with End-to-End Learning of Feature Groups Weiqiu You Helen Qu Marco Gatti Bhuvnesh Jain Eric Wong FAtt FaML 73 4 0 25 Oct 2023
Deep Integrated Explanations Oren Barkan Yehonatan Elisha Jonathan Weill Yuval Asher Amit Eshel Noam Koenigstein FAtt 105 7 0 23 Oct 2023
The Importance of Anti-Aliasing in Tiny Object Detection Jinlai Ning Michael W. Spratling 89 4 0 22 Oct 2023
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation Chongyu Fan Jiancheng Liu Yihua Zhang Eric Wong Dennis Wei Sijia Liu MU 143 150 0 19 Oct 2023
On Unsupervised Image-to-image translation and GAN stability BahaaEddin AlAila Zahra Jandaghi Abolfazl Farahani M. Al-Saad GAN 48 1 0 18 Oct 2023
LICO: Explainable Models with Language-Image Consistency Yiming Lei Zilong Li Yangyang Li Junping Zhang Hongming Shan VLM FAtt 46 7 0 15 Oct 2023
Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory Yiting Chen Zhanpeng Zhou Junchi Yan 61 9 0 10 Oct 2023
AttributionLab: Faithfulness of Feature Attribution Under Controllable Environments Yang Zhang Yawei Li Hannah Brown Mina Rezaei Bernd Bischl Philip Torr Ashkan Khakzar Kenji Kawaguchi OOD 81 2 0 10 Oct 2023
LIPEx-Locally Interpretable Probabilistic Explanations-To Look Beyond The True Class Hongbo Zhu Angelo Cangelosi Procheta Sen Anirbit Mukherjee FAtt 61 0 0 07 Oct 2023