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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
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Papers citing
"Striving for Simplicity: The All Convolutional Net"
50 / 1,915 papers shown
Explaining Deep Face Algorithms through Visualization: A Survey
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S. M. I. C. V. Balasubramanian
M. Jawahar
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248
2
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26 Sep 2023
Multiple Different Black Box Explanations for Image Classifiers
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D. A. Kelly
Daniel Kroening
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A matter of attitude: Focusing on positive and active gradients to boost saliency maps
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Targeted Activation Penalties Help CNNs Ignore Spurious Signals
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Hamed Ayoobi
Francesca Toni
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230
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22 Sep 2023
The Topology and Geometry of Neural Representations
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
Baihan Lin
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On Model Explanations with Transferable Neural Pathways
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18 Sep 2023
Information based explanation methods for deep learning agents -- with applications on large open-source chess models
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Inga Strümke
128
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18 Sep 2023
TCGAN: Convolutional Generative Adversarial Network for Time Series Classification and Clustering
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AI4TS
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09 Sep 2023
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care
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196
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Prediction of Diblock Copolymer Morphology via Machine Learning
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Boyuan Yu
Juhae Park
Ge Sun
E. Tajkhorshid
J. Pablo
Ludwig Schneider
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134
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31 Aug 2023
Unsupervised discovery of Interpretable Visual Concepts
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Caroline Mazini Rodrigues
Nicolas Boutry
Laurent Najman
FAtt
442
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31 Aug 2023
Exploring Deep Learning for Full-disk Solar Flare Prediction with Empirical Insights from Guided Grad-CAM Explanations
International Conference on Data Science and Advanced Analytics (DSAA), 2023
Chetraj Pandey
Anli Ji
Trisha Nandakumar
R. Angryk
Berkay Aydin
144
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30 Aug 2023
Efficient and Flexible Neural Network Training through Layer-wise Feedback Propagation
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J. Berend
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Thomas Wiegand
Wojciech Samek
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132
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Beyond Discriminative Regions: Saliency Maps as Alternatives to CAMs for Weakly Supervised Semantic Segmentation
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Arka Daw
Amartya Dutta
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Anuj Karpatne
217
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Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification
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Qianqian Wang
Xiaochuan Wang
Lishan Qiao
Mingxia Liu
203
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Dissecting RGB-D Learning for Improved Multi-modal Fusion
Hao Chen
Hao Zhou
Yunshu Zhang
Zheng Lin
Yongjian Deng
408
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19 Aug 2023
A Dual-Perspective Approach to Evaluating Feature Attribution Methods
Yawei Li
Yanglin Zhang
Kenji Kawaguchi
Ashkan Khakzar
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Mina Rezaei
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194
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17 Aug 2023
Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities
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Ting Zhu
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207
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BSED: Baseline Shapley-Based Explainable Detector
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Michihiro Kuroki
T. Yamasaki
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191
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14 Aug 2023
DCNFIS: Deep Convolutional Neuro-Fuzzy Inference System
Mojtaba Yeganejou
Kimia Honari
Ryan Kluzinski
S. Dick
M. Lipsett
James Miller
FedML
AI4CE
181
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11 Aug 2023
Decoding Layer Saliency in Language Transformers
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Elizabeth M. Hou
Greg Castañón
MILM
282
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09 Aug 2023
Precise Benchmarking of Explainable AI Attribution Methods
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Daan Raatjens
G. Gaydadjiev
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161
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06 Aug 2023
Explainable Deep Learning-based Solar Flare Prediction with post hoc Attention for Operational Forecasting
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Chetraj Pandey
R. Angryk
M. Georgoulis
Berkay Aydin
114
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04 Aug 2023
Diffusion Models for Counterfactual Generation and Anomaly Detection in Brain Images
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Alessandro Fontanella
Grant Mair
Joanna M. Wardlaw
Emanuele Trucco
Amos Storkey
DiffM
MedIm
237
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03 Aug 2023
DLSIA: Deep Learning for Scientific Image Analysis
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Eric J. Roberts
Tanny Chavez
Alexander Hexemer
Petrus H. Zwart
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180
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02 Aug 2023
Explaining Full-disk Deep Learning Model for Solar Flare Prediction using Attribution Methods
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R. Angryk
Berkay Aydin
FAtt
126
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29 Jul 2023
Simplified Concrete Dropout -- Improving the Generation of Attribution Masks for Fine-grained Classification
D. Korsch
M. Shadaydeh
Joachim Denzler
210
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27 Jul 2023
Sparse Double Descent in Vision Transformers: real or phantom threat?
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Victor Quétu
Marta Milovanović
Enzo Tartaglione
326
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26 Jul 2023
Revisiting the Performance-Explainability Trade-Off in Explainable Artificial Intelligence (XAI)
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Timo Speith
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Nuo Cheng
Sikun Ma
Jun Xiang
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Shengguang Lei
Pu Li
3DPC
94
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25 Jul 2023
Right for the Wrong Reason: Can Interpretable ML Techniques Detect Spurious Correlations?
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
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Lisa M. Koch
Christian F. Baumgartner
304
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eXplainable Artificial Intelligence (XAI) in aging clock models
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Alena I. Kalyakulina
I. Yusipov
Alexey Moskalev
Claudio Franceschi
Mikhail Ivanchenko
191
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21 Jul 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
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M. K. Yucel
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Pinar Duygulu
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215
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21 Jul 2023
Risk-optimized Outlier Removal for Robust 3D Point Cloud Classification
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Xinke Li
Junchi Lu
Henghui Ding
Changsheng Sun
Qiufeng Wang
Chee Yeow Meng
3DPC
403
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Saliency strikes back: How filtering out high frequencies improves white-box explanations
International Conference on Machine Learning (ICML), 2023
Sabine Muzellec
Thomas Fel
Victor Boutin
Léo Andéol
R. V. Rullen
Thomas Serre
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446
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18 Jul 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks
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Weihang Zhang
Yuxiao Cheng
J. Suo
229
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Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems
Gabriel Mancino-Ball
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Is Task-Agnostic Explainable AI a Myth?
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Gradient Surgery for One-shot Unlearning on Generative Model
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Woohyung Lim
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Harmonizing Feature Attributions Across Deep Learning Architectures: Enhancing Interpretability and Consistency
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Md Abdul Kadir
G. Addluri
Daniel Sonntag
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248
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Mitigating Bias: Enhancing Image Classification by Improving Model Explanations
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Raha Ahmadi
Mohammad Javad Rajabi
Mohammad Khalooiem
Mohammad Sabokrou
287
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Fixing confirmation bias in feature attribution methods via semantic match
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Daniel Fernandez-Llaneza
Ludovico Deponte
Nishant Mishra
Tabea E. Rober
Sandro Pezzelle
Iacer Calixto
Rob Goedhart
cS. .Ilker Birbil
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Identifying Important Sensory Feedback for Learning Locomotion Skills
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Chuanyu Yang
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A. Ijspeert
Zhibin Li
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Cristina Conati
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180
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Oula Puonti
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Koen van Leemput
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B-cos Alignment for Inherently Interpretable CNNs and Vision Transformers
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Moritz D Boehle
Navdeeppal Singh
Mario Fritz
Bernt Schiele
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Rosetta Neurons: Mining the Common Units in a Model Zoo
IEEE International Conference on Computer Vision (ICCV), 2023
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Yossi Gandelsman
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Explainable AI and Machine Learning Towards Human Gait Deterioration Analysis
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