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

Striving for Simplicity: The All Convolutional Net

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 / 1,866 papers shown
Title
Explaining Graph Neural Networks for Node Similarity on Graphs
Explaining Graph Neural Networks for Node Similarity on Graphs
Daniel Daza
C. Chu
T. Tran
Daria Stepanova
Michael Cochez
Paul T. Groth
55
1
0
10 Jul 2024
Explainable Image Recognition via Enhanced Slot-attention Based
  Classifier
Explainable Image Recognition via Enhanced Slot-attention Based Classifier
Bowen Wang
Liangzhi Li
Jiahao Zhang
Yuta Nakashima
Hajime Nagahara
OCL
129
1
0
08 Jul 2024
DocXplain: A Novel Model-Agnostic Explainability Method for Document
  Image Classification
DocXplain: A Novel Model-Agnostic Explainability Method for Document Image Classification
S. Saifullah
S. Agne
Andreas Dengel
Sheraz Ahmed
126
0
0
04 Jul 2024
Integrated feature analysis for deep learning interpretation and class
  activation maps
Integrated feature analysis for deep learning interpretation and class activation maps
Yanli Li
Tahereh Hassanzadeh
D. Shamonin
Monique Reijnierse
A. H. V. D. H. Mil
B. Stoel
71
0
0
01 Jul 2024
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Restyling Unsupervised Concept Based Interpretable Networks with Generative Models
Jayneel Parekh
Quentin Bouniot
Pavlo Mozharovskyi
A. Newson
Florence dÁlché-Buc
SSL
162
1
0
01 Jul 2024
Axiomatization of Gradient Smoothing in Neural Networks
Axiomatization of Gradient Smoothing in Neural Networks
Linjiang Zhou
Xiaochuan Shi
Chao Ma
Zepeng Wang
FAtt
64
1
0
29 Jun 2024
AI for the prediction of early stages of Alzheimer's disease from
  neuroimaging biomarkers -- A narrative review of a growing field
AI for the prediction of early stages of Alzheimer's disease from neuroimaging biomarkers -- A narrative review of a growing field
Thorsten Rudroff
O. Rainio
R. Klén
104
8
0
25 Jun 2024
Latent Functional Maps
Latent Functional Maps
Marco Fumero
Marco Pegoraro
Valentino Maiorca
Francesco Locatello
Emanuele Rodolà
105
0
0
20 Jun 2024
Machine Learning Techniques in Automatic Music Transcription: A
  Systematic Survey
Machine Learning Techniques in Automatic Music Transcription: A Systematic Survey
Fatemeh Jamshidi
Gary Pike
Amit Das
Richard Chapman
58
4
0
20 Jun 2024
Reasoning with trees: interpreting CNNs using hierarchies
Reasoning with trees: interpreting CNNs using hierarchies
Caroline Mazini Rodrigues
Nicolas Boutry
Laurent Najman
56
0
0
19 Jun 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for
  Quantifying Biases in Explanations
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations
Rick Wilming
Artur Dox
Hjalmar Schulz
Marta Oliveira
Benedict Clark
Stefan Haufe
100
2
0
17 Jun 2024
On the Feasibility of Fidelity$^-$ for Graph Pruning
On the Feasibility of Fidelity−^-− for Graph Pruning
Yong-Min Shin
Won-Yong Shin
64
0
0
17 Jun 2024
Don't Forget Too Much: Towards Machine Unlearning on Feature Level
Don't Forget Too Much: Towards Machine Unlearning on Feature Level
Heng Xu
Tianqing Zhu
Wanlei Zhou
Wei Zhao
MU
80
5
0
16 Jun 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature
  Attribution
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution
Yue Zhuo
Zhiqiang Ge
57
9
0
16 Jun 2024
Phoneme Discretized Saliency Maps for Explainable Detection of
  AI-Generated Voice
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice
Shubham Gupta
Mirco Ravanelli
Pascal Germain
Cem Subakan
FAtt
65
4
0
14 Jun 2024
Challenges in explaining deep learning models for data with biological
  variation
Challenges in explaining deep learning models for data with biological variation
Lenka Tětková
E. Dreier
Robin Malm
Lars Kai Hansen
AAML
74
1
0
14 Jun 2024
Applications of Explainable artificial intelligence in Earth system
  science
Applications of Explainable artificial intelligence in Earth system science
Feini Huang
Shijie Jiang
Lu Li
Yongkun Zhang
Ye Zhang
Ruqing Zhang
Qingliang Li
Danxi Li
Wei Shangguan
Yongjiu Dai
75
2
0
12 Jun 2024
GENIU: A Restricted Data Access Unlearning for Imbalanced Data
GENIU: A Restricted Data Access Unlearning for Imbalanced Data
Chenhao Zhang
Shaofei Shen
Yawen Zhao
Weitong Tony Chen
Miao Xu
MU
65
4
0
12 Jun 2024
Graphical Perception of Saliency-based Model Explanations
Graphical Perception of Saliency-based Model Explanations
Yayan Zhao
Mingwei Li
Matthew Berger
XAIFAtt
91
2
0
11 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for
  Classification of Mass Margins in Digital Mammography
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
Julia Yang
Alina Jade Barnett
Jon Donnelly
Satvik Kishore
Jerry Fang
F. Schwartz
Chaofan Chen
Joseph Y. Lo
Cynthia Rudin
MedIm
53
1
0
10 Jun 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for
  Multi-Label Classification Using Class-Specific Counterfactuals
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals
Susu Sun
S. Woerner
Andreas Maier
Lisa M. Koch
Christian F. Baumgartner
FAtt
72
1
0
08 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature
  Attributions
Provably Better Explanations with Optimized Aggregation of Feature Attributions
Thomas Decker
Ananta R. Bhattarai
Jindong Gu
Volker Tresp
Florian Buettner
77
3
0
07 Jun 2024
Leveraging Activations for Superpixel Explanations
Leveraging Activations for Superpixel Explanations
Ahcène Boubekki
Samuel G. Fadel
Sebastian Mair
AAMLFAttXAI
66
0
0
07 Jun 2024
Revisiting Scalable Hessian Diagonal Approximations for Applications in
  Reinforcement Learning
Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning
Mohamed Elsayed
Homayoon Farrahi
Felix Dangel
A. Rupam Mahmood
66
4
0
05 Jun 2024
Tensor Polynomial Additive Model
Tensor Polynomial Additive Model
Yang Chen
Ce Zhu
Jiani Liu
Yipeng Liu
TPM
68
0
0
05 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment
  effect analysis
Enhancing predictive imaging biomarker discovery through treatment effect analysis
Shuhan Xiao
Lukas Klein
Jens Petersen
Philipp Vollmuth
Paul F. Jaeger
Klaus H. Maier-Hein
50
0
0
04 Jun 2024
Explainable Deep Learning Analysis for Raga Identification in Indian Art
  Music
Explainable Deep Learning Analysis for Raga Identification in Indian Art Music
Parampreet Singh
Vipul Arora
44
3
0
04 Jun 2024
Expected Grad-CAM: Towards gradient faithfulness
Expected Grad-CAM: Towards gradient faithfulness
Vincenzo Buono
Peyman Sheikholharam Mashhadi
M. Rahat
Prayag Tiwari
Stefan Byttner
FAtt
71
1
0
03 Jun 2024
VOICE: Variance of Induced Contrastive Explanations to quantify
  Uncertainty in Neural Network Interpretability
VOICE: Variance of Induced Contrastive Explanations to quantify Uncertainty in Neural Network Interpretability
Mohit Prabhushankar
Ghassan AlRegib
FAttUQCV
71
2
0
01 Jun 2024
CONFINE: Conformal Prediction for Interpretable Neural Networks
CONFINE: Conformal Prediction for Interpretable Neural Networks
Linhui Huang
S. Lala
N. Jha
289
2
0
01 Jun 2024
einspace: Searching for Neural Architectures from Fundamental Operations
einspace: Searching for Neural Architectures from Fundamental Operations
Linus Ericsson
Miguel Espinosa
Chenhongyi Yang
Antreas Antoniou
Amos Storkey
Shay B. Cohen
Jingyu Sun
Elliot J. Crowley
76
1
0
31 May 2024
Applications of interpretable deep learning in neuroimaging: a
  comprehensive review
Applications of interpretable deep learning in neuroimaging: a comprehensive review
Lindsay Munroe
Mariana da Silva
Faezeh Heidari
I. Grigorescu
Simon Dahan
E. C. Robinson
Maria Deprez
Po-Wah So
AI4CE
56
7
0
30 May 2024
Recurrent and Convolutional Neural Networks in Classification of EEG
  Signal for Guided Imagery and Mental Workload Detection
Recurrent and Convolutional Neural Networks in Classification of EEG Signal for Guided Imagery and Mental Workload Detection
Filip Postepski
Grzegorz M. Wójcik
Krzysztof Wróbel
Andrzej Kawiak
Katarzyna Zemla
Grzegorz Sedek
25
2
0
27 May 2024
Exploring the Relationship Between Feature Attribution Methods and Model
  Performance
Exploring the Relationship Between Feature Attribution Methods and Model Performance
Priscylla Silva
Claudio T. Silva
L. G. Nonato
FAtt
58
1
0
22 May 2024
Part-based Quantitative Analysis for Heatmaps
Part-based Quantitative Analysis for Heatmaps
Osman Tursun
Sinan Kalkan
Simon Denman
Sridha Sridharan
Clinton Fookes
80
0
0
22 May 2024
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model
  Stealing
Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing
Yunlong Zhao
Xiaoheng Deng
Yijing Liu
Xin-jun Pei
Jiazhi Xia
Wei Chen
AAML
48
3
0
18 May 2024
Parallel Backpropagation for Shared-Feature Visualization
Parallel Backpropagation for Shared-Feature Visualization
Alexander Lappe
Anna Bognár
Ghazaleh Ghamkhari Nejad
A. Mukovskiy
Lucas M. Martini
Martin A. Giese
Rufin Vogels
FAtt
50
1
0
16 May 2024
Manifold Integrated Gradients: Riemannian Geometry for Feature
  Attribution
Manifold Integrated Gradients: Riemannian Geometry for Feature Attribution
Eslam Zaher
Maciej Trzaskowski
Quan Nguyen
Fred Roosta
AAML
68
4
0
16 May 2024
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks
Solving the enigma: Enhancing faithfulness and comprehensibility in explanations of deep networks
Michail Mamalakis
Antonios Mamalakis
Ingrid Agartz
L. Morch-Johnsen
Graham K Murray
J. Suckling
Pietro Lio
158
0
0
16 May 2024
SMUG-Explain: A Framework for Symbolic Music Graph Explanations
SMUG-Explain: A Framework for Symbolic Music Graph Explanations
E. Karystinaios
Francesco Foscarin
Gerhard Widmer
87
1
0
15 May 2024
Deep Learning in Earthquake Engineering: A Comprehensive Review
Deep Learning in Earthquake Engineering: A Comprehensive Review
Yazhou Xie
AI4CE
103
5
0
15 May 2024
Towards a Novel Measure of User Trust in XAI Systems
Towards a Novel Measure of User Trust in XAI Systems
Miquel Miró-Nicolau
Gabriel Moyà Alcover
Antoni Jaume-i-Capó
Manuel González Hidalgo
Adel Ghazel
Maria Gemma Sempere Campello
Juan Antonio Palmer Sancho
55
0
0
09 May 2024
A Fresh Look at Sanity Checks for Saliency Maps
A Fresh Look at Sanity Checks for Saliency Maps
Anna Hedström
Leander Weber
Sebastian Lapuschkin
Marina M.-C. Höhne
FAttLRM
102
7
0
03 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
95
10
0
02 May 2024
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of
  Attribution Methods
Backdoor-based Explainable AI Benchmark for High Fidelity Evaluation of Attribution Methods
Peiyu Yang
Naveed Akhtar
Jiantong Jiang
Ajmal Mian
XAI
68
2
0
02 May 2024
Towards Optimising EEG Decoding using Post-hoc Explanations and Domain
  Knowledge
Towards Optimising EEG Decoding using Post-hoc Explanations and Domain Knowledge
Param S. Rajpura
Y. Meena
92
0
0
02 May 2024
Reliable or Deceptive? Investigating Gated Features for Smooth Visual
  Explanations in CNNs
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
Soham Mitra
Atri Sukul
Swalpa Kumar Roy
Pravendra Singh
Vinay Kumar Verma
AAMLFAtt
55
0
0
30 Apr 2024
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Rad4XCNN: a new agnostic method for post-hoc global explanation of CNN-derived features by means of radiomics
Francesco Prinzi
C. Militello
Calogero Zarcaro
T. Bartolotta
Salvatore Gaglio
Salvatore Vitabile
43
2
0
26 Apr 2024
A Learning Paradigm for Interpretable Gradients
A Learning Paradigm for Interpretable Gradients
Felipe Figueroa
Hanwei Zhang
R. Sicre
Yannis Avrithis
Stéphane Ayache
FAtt
53
0
0
23 Apr 2024
CA-Stream: Attention-based pooling for interpretable image recognition
CA-Stream: Attention-based pooling for interpretable image recognition
Felipe Torres
Hanwei Zhang
R. Sicre
Stéphane Ayache
Yannis Avrithis
82
1
0
23 Apr 2024
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