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Striving for Simplicity: The All Convolutional Net
v1v2v3 (latest)

Striving for Simplicity: The All Convolutional Net

International Conference on Learning Representations (ICLR), 2014
21 December 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
    FAtt
ArXiv (abs)PDFHTML

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

50 / 1,915 papers shown
Out-of-the-box: Black-box Causal Attacks on Object Detectors
Out-of-the-box: Black-box Causal Attacks on Object Detectors
Melane Navaratnarajah
David A. Kelly
Hana Chockler
AAML
168
0
0
03 Dec 2025
QGShap: Quantum Acceleration for Faithful GNN Explanations
QGShap: Quantum Acceleration for Faithful GNN Explanations
Haribandhu Jena
Jyotirmaya Shivottam
Subhankar Mishra
FAtt
265
0
0
01 Dec 2025
Hard Spatial Gating for Precision-Driven Brain Metastasis Segmentation: Addressing the Over-Segmentation Paradox in Deep Attention Networks
Hard Spatial Gating for Precision-Driven Brain Metastasis Segmentation: Addressing the Over-Segmentation Paradox in Deep Attention Networks
Rowzatul Zannath Prerona
76
0
0
27 Nov 2025
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
The Directed Prediction Change - Efficient and Trustworthy Fidelity Assessment for Local Feature Attribution Methods
Kevin Iselborn
David Dembinsky
Adriano Lucieri
Andreas Dengel
AAMLFAtt
410
0
0
26 Nov 2025
Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
Synthetic Forgetting without Access: A Few-shot Zero-glance Framework for Machine Unlearning
Qipeng Song
Nan Yang
Ziqi Xu
Yue Li
Wei Shao
Feng Xia
MU
172
0
0
17 Nov 2025
Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
Yehonatan Elisha
Seffi Cohen
Oren Barkan
Noam Koenigstein
FAtt
277
0
0
17 Nov 2025
Speech Emotion Recognition with Phonation Excitation Information and Articulatory Kinematics
Speech Emotion Recognition with Phonation Excitation Information and Articulatory KinematicsComputer Vision and Pattern Recognition (CVPR), 2025
Ziqian Zhang
Min Huang
Zhongzhe Xiao
120
2
0
11 Nov 2025
Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
Explainable Deep Learning-based Classification of Wolff-Parkinson-White Electrocardiographic Signals
Alice Ragonesi
Stefania Fresca
K. Gillette
Stefan Kurath-Koller
Gernot Plank
Elena Zappon
76
0
0
08 Nov 2025
Extremal Contours: Gradient-driven contours for compact visual attribution
Extremal Contours: Gradient-driven contours for compact visual attribution
Reza Karimzadeh
Albert Alonso
Frans Zdyb
J. B. Kirkegaard
Bulat Ibragimov
AAML
156
0
0
03 Nov 2025
HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology
HistoLens: An Interactive XAI Toolkit for Verifying and Mitigating Flaws in Vision-Language Models for Histopathology
Sandeep Vissapragada
Vikrant Sahu
Gagan Raj Gupta
Vandita Singh
79
0
0
28 Oct 2025
FeatureFool: Zero-Query Fooling of Video Models via Feature Map
FeatureFool: Zero-Query Fooling of Video Models via Feature Map
Duoxun Tang
Xi Xiao
Guangwu Hu
Kangkang Sun
Xiao Yang
Dongyang Chen
Qing Li
Yongjie Yin
Jiyao Wang
AAML
226
1
0
21 Oct 2025
Onto-Epistemological Analysis of AI Explanations
Onto-Epistemological Analysis of AI Explanations
Martina Mattioli
Eike Petersen
Aasa Feragen
Marcello Pelillo
Siavash Bigdeli
228
0
0
03 Oct 2025
Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI
Akchunya Chanchal
David A. Kelly
Hana Chockler
AAMLFAtt
216
0
0
01 Oct 2025
TextCAM: Explaining Class Activation Map with Text
TextCAM: Explaining Class Activation Map with Text
Qiming Zhao
Xingjian Li
Xiaoyu Cao
Xiaolong Wu
Min Xu
VLM
119
0
0
01 Oct 2025
TDHook: A Lightweight Framework for Interpretability
TDHook: A Lightweight Framework for Interpretability
Yoann Poupart
AI4CE
128
0
0
29 Sep 2025
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
CE-FAM: Concept-Based Explanation via Fusion of Activation Maps
Michihiro Kuroki
T. Yamasaki
150
0
0
28 Sep 2025
MindCraft: How Concept Trees Take Shape In Deep Models
MindCraft: How Concept Trees Take Shape In Deep Models
Bowei Tian
Yexiao He
Wanghao Ye
Ziyao Wang
Meng Liu
Ang Li
LRM
102
0
0
26 Sep 2025
Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning
Smaller is Better: Enhancing Transparency in Vehicle AI Systems via Pruning
Sanish Suwal
Shaurya Garg
Dipkamal Bhusal
Michael Clifford
Nidhi Rastogi
AAML
140
1
0
24 Sep 2025
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
Explainable Graph Neural Networks: Understanding Brain Connectivity and Biomarkers in Dementia
Niharika Tewari
Nguyen Linh Dan Le
Mujie Liu
Jing Ren
Ziqi Xu
Tabinda Sarwar
Veeky Baths
Feng Xia
166
0
0
23 Sep 2025
A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness
A Validation Strategy for Deep Learning Models: Evaluating and Enhancing Robustness
Abdul-Rauf Nuhu
Parham Kebria
Vahid Hemmati
Benjamin Lartey
M. N. Mahmoud
A. Homaifar
E. Tunstel
184
0
0
23 Sep 2025
xAI-CV: An Overview of Explainable Artificial Intelligence in Computer Vision
xAI-CV: An Overview of Explainable Artificial Intelligence in Computer Vision
Nguyen Van Tu
Pham Nguyen Hai Long
Vo Hoai Viet
133
0
0
23 Sep 2025
Generating Part-Based Global Explanations Via Correspondence
Generating Part-Based Global Explanations Via Correspondence
Kunal Rathore
Prasad Tadepalli
112
0
0
18 Sep 2025
Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model
Attention Lattice Adapter: Visual Explanation Generation for Visual Foundation Model
Shinnosuke Hirano
Yuiga Wada
T. Iida
Komei Sugiura
142
0
0
18 Sep 2025
Evaluation of Black-Box XAI Approaches for Predictors of Values of Boolean Formulae
Evaluation of Black-Box XAI Approaches for Predictors of Values of Boolean Formulae
Stav Armoni-Friedmann
Hana Chockler
David A. Kelly
100
0
0
12 Sep 2025
An Autoencoder and Vision Transformer-based Interpretability Analysis of the Differences in Automated Staging of Second and Third Molars
An Autoencoder and Vision Transformer-based Interpretability Analysis of the Differences in Automated Staging of Second and Third Molars
Barkin Buyukcakir
Jannick De Tobel
Patrick Thevissen
Dirk Vandermeulen
P. Claes
MedIm
162
0
0
12 Sep 2025
Value bounds and Convergence Analysis for Averages of LRP attributions
Value bounds and Convergence Analysis for Averages of LRP attributions
Alexander Binder
Nastaran Takmil-Homayouni
Ürün Dogan
FAtt
228
0
0
10 Sep 2025
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways
Beyond Output Faithfulness: Learning Attributions that Preserve Computational Pathways
Siyu Zhang
Kenneth Mcmillan
205
0
0
04 Sep 2025
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
Explainability-Driven Dimensionality Reduction for Hyperspectral Imaging
S. Haidar
José Oramas
123
0
0
02 Sep 2025
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
Explain and Monitor Deep Learning Models for Computer Vision using Obz AI
N. C. Chung
Jakub Binda
VLM
177
1
0
25 Aug 2025
Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis
Fragment-Wise Interpretability in Graph Neural Networks via Molecule Decomposition and Contribution Analysis
Sebastian Musiał
Bartosz Zieliñski
Tomasz Danel
AAML
92
0
0
20 Aug 2025
Model Interpretability and Rationale Extraction by Input Mask Optimization
Model Interpretability and Rationale Extraction by Input Mask OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Marc Brinner
Sina Zarriess
AAML
120
2
0
15 Aug 2025
Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation
Inside Knowledge: Graph-based Path Generation with Explainable Data Augmentation and Curriculum Learning for Visual Indoor Navigation
Daniel Airinei
Elena Burceanu
Marius Leordeanu
128
0
0
15 Aug 2025
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
On the Complexity-Faithfulness Trade-off of Gradient-Based Explanations
Amir Mehrpanah
Matteo Gamba
Kevin Smith
Hossein Azizpour
FAtt
153
0
0
14 Aug 2025
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Attribution Explanations for Deep Neural Networks: A Theoretical Perspective
Huiqi Deng
Hongbin Pei
Quanshi Zhang
Mengnan Du
FAtt
160
1
0
11 Aug 2025
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
Junyao Yang
Jianwei Wang
Huiping Zhuang
Cen Chen
Ziqian Zeng
MoMeLRM
166
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05 Aug 2025
DeepFaith: A Domain-Free and Model-Agnostic Unified Framework for Highly Faithful Explanations
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Yuhan Guo
Lizhong Ding
Shihan Jia
Yanyu Ren
P. Li
Jiarun Fu
Changsheng Li
Ye Yuan
Guoren Wang
156
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0
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Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs
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Davide Buscaldi
Sonia Vanier
190
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PyG 2.0: Scalable Learning on Real World Graphs
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Jinu Sunil
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Vid Kocijan
Zecheng Zhang
Xinwei He
J. E. Lenssen
J. Leskovec
GNNAI4CE
302
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22 Jul 2025
Explainable Graph Neural Networks via Structural Externalities
Explainable Graph Neural Networks via Structural ExternalitiesInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Lijun Wu
Dong Hao
Zhiyi Fan
149
1
0
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Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
Uncovering Neuroimaging Biomarkers of Brain Tumor Surgery with AI-Driven Methods
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Yizhou Wan
Guilio Sansone
Francisco J. Martínez-Murcia
J. Ramírez
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Juan M Gorriz
Stephen J. Price
J. Suckling
Michail Mamalakis
123
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Pixel-level Certified Explanations via Randomized Smoothing
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Alaa Anani
Tobias Lorenz
Mario Fritz
Bernt Schiele
FAttAAML
239
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Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better
Probing Deep into Temporal Profile Makes the Infrared Small Target Detector Much Better
Ruojing Li
Wei An
Xinyi Ying
Yingqian Wang
Yimian Dai
Longguang Wang
Miao Li
Yike Guo
Tianpeng Liu
160
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15 Jun 2025
When Forgetting Triggers Backdoors: A Clean Unlearning Attack
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Marco Arazzi
Antonino Nocera
Vinod Puthuvath
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260
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AutoGen Driven Multi Agent Framework for Iterative Crime Data Analysis and Prediction
AutoGen Driven Multi Agent Framework for Iterative Crime Data Analysis and Prediction
Syeda Kisaa Fatima
Tehreem Zubair
Noman Ahmed
Asifullah Khan
LLMAGSyDa
243
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Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
Identifying Alzheimer's Disease Prediction Strategies of Convolutional Neural Network Classifiers using R2* Maps and Spectral Clustering
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Maximilian Sackl
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202
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Visual Explanation via Similar Feature Activation for Metric Learning
Visual Explanation via Similar Feature Activation for Metric Learning
Yi Liao
Ugochukwu Ejike Akpudo
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Wenyi Zeng
Weichuan Zhang
FAtt
554
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Targeted Unlearning Using Perturbed Sign Gradient Methods With Applications On Medical Images
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George R. Nahass
Zhu Wang
Homa Rashidisabet
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Chad A. Purnell
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P. Setabutr
Ann Q. Tran
Darvin Yi
MUOOD
354
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Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting
Point-to-Region Loss for Semi-Supervised Point-Based Crowd CountingComputer Vision and Pattern Recognition (CVPR), 2025
Wei Lin
Chenyang Zhao
Antoni B. Chan
125
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Soft-CAM: Making black box models self-explainable for high-stakes decisions
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Philipp Berens
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Minimizing False-Positive Attributions in Explanations of Non-Linear Models
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Anders Gjølbye
Stefan Haufe
Lars Kai Hansen
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