ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1412.6806
  4. Cited By
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 / 1,916 papers shown
PASA: Attack Agnostic Unsupervised Adversarial Detection using
  Prediction & Attribution Sensitivity Analysis
PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis
Dipkamal Bhusal
Md Tanvirul Alam
M. K. Veerabhadran
Michael Clifford
Sara Rampazzi
Nidhi Rastogi
AAML
236
5
0
12 Apr 2024
Towards a Game-theoretic Understanding of Explanation-based Membership
  Inference Attacks
Towards a Game-theoretic Understanding of Explanation-based Membership Inference AttacksDecision and Game Theory for Security (GameSec), 2024
Kavita Kumari
Murtuza Jadliwala
S. Jha
Anindya Maiti
222
3
0
10 Apr 2024
Structured Gradient-based Interpretations via Norm-Regularized
  Adversarial Training
Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training
Shizhan Gong
Qi Dou
Farzan Farnia
FAtt
241
5
0
06 Apr 2024
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
LeGrad: An Explainability Method for Vision Transformers via Feature Formation Sensitivity
Walid Bousselham
Angie Boggust
Sofian Chaybouti
Hendrik Strobelt
Hilde Kuehne
335
23
0
04 Apr 2024
A Survey of Privacy-Preserving Model Explanations: Privacy Risks,
  Attacks, and Countermeasures
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
Thanh Tam Nguyen
T. T. Huynh
Zhao Ren
Thanh Toan Nguyen
Phi Le Nguyen
Hongzhi Yin
Quoc Viet Hung Nguyen
448
12
0
31 Mar 2024
A Peg-in-hole Task Strategy for Holes in Concrete
A Peg-in-hole Task Strategy for Holes in Concrete
André Yuji Yasutomi
Hiroki Mori
Tetsuya Ogata
125
16
0
29 Mar 2024
Envisioning MedCLIP: A Deep Dive into Explainability for Medical
  Vision-Language Models
Envisioning MedCLIP: A Deep Dive into Explainability for Medical Vision-Language Models
Anees Ur Rehman Hashmi
Dwarikanath Mahapatra
Mohammad Yaqub
VLMMedIm
128
4
0
27 Mar 2024
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via
  Bayesian Neural Networks
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks
Tian Ye
Rajgopal Kannan
Viktor Prasanna
Carl E. Busart
AAML
156
2
0
27 Mar 2024
Multi-scale Unified Network for Image Classification
Multi-scale Unified Network for Image Classification
Wenzhuo Liu
Fei Zhu
Cheng-Lin Liu
CVBM
240
1
0
27 Mar 2024
Sanity Checks for Explanation Uncertainty
Sanity Checks for Explanation Uncertainty
Matias Valdenegro-Toro
Mihir Mulye
FAtt
191
0
0
25 Mar 2024
Uncertainty Quantification for Gradient-based Explanations in Neural Networks
Uncertainty Quantification for Gradient-based Explanations in Neural Networks
Mihir Mulye
Matias Valdenegro-Toro
UQCVFAtt
380
1
0
25 Mar 2024
An Analytic Solution to Covariance Propagation in Neural Networks
An Analytic Solution to Covariance Propagation in Neural Networks
Oren Wright
Yorie Nakahira
José M. F. Moura
229
9
0
24 Mar 2024
Token Transformation Matters: Towards Faithful Post-hoc Explanation for
  Vision Transformer
Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer
Junyi Wu
Bin Duan
Weitai Kang
Hao Tang
Yan Yan
203
16
0
21 Mar 2024
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
Uncertainty-Aware Explanations Through Probabilistic Self-Explainable Neural Networks
Jon Vadillo
Roberto Santana
J. A. Lozano
Marta Z. Kwiatkowska
AAMLBDL
520
1
0
20 Mar 2024
Listenable Maps for Audio Classifiers
Listenable Maps for Audio Classifiers
Francesco Paissan
Mirco Ravanelli
Cem Subakan
257
13
0
19 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review
Gradient based Feature Attribution in Explainable AI: A Technical Review
Yongjie Wang
Tong Zhang
Xu Guo
Zhiqi Shen
XAI
281
43
0
15 Mar 2024
Interpretable Machine Learning for Survival Analysis
Interpretable Machine Learning for Survival Analysis
Sophie Hanna Langbein
Mateusz Krzyzinski
Mikolaj Spytek
Hubert Baniecki
P. Biecek
Marvin N. Wright
283
7
0
15 Mar 2024
Thermal Earth Model for the Conterminous United States Using an
  Interpolative Physics-Informed Graph Neural Network (InterPIGNN)
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)Geothermal Energy (GE), 2024
M. Aljubran
Roland N. Horne
AI4CE
210
16
0
15 Mar 2024
What Sketch Explainability Really Means for Downstream Tasks
What Sketch Explainability Really Means for Downstream TasksComputer Vision and Pattern Recognition (CVPR), 2024
Hmrishav Bandyopadhyay
Pinaki Nath Chowdhury
A. Bhunia
Aneeshan Sain
Tao Xiang
Yi-Zhe Song
299
8
0
14 Mar 2024
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued
  Neural Networks
DeepCSHAP: Utilizing Shapley Values to Explain Deep Complex-Valued Neural Networks
Florian Eilers
Xiaoyi Jiang
FAtt
144
1
0
13 Mar 2024
A Survey of Explainable Knowledge Tracing
A Survey of Explainable Knowledge Tracing
Yanhong Bai
Jiabao Zhao
Tingjiang Wei
Qing Cai
Xiaoling Wang
268
24
0
12 Mar 2024
Explainable Learning with Gaussian Processes
Explainable Learning with Gaussian Processes
Kurt Butler
Guanchao Feng
Petar M. Djurić
329
3
0
11 Mar 2024
Are Classification Robustness and Explanation Robustness Really Strongly
  Correlated? An Analysis Through Input Loss Landscape
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape
Tiejin Chen
Wenwang Huang
Linsey Pang
Dongsheng Luo
Hua Wei
OOD
259
0
0
09 Mar 2024
Feature CAM: Interpretable AI in Image Classification
Feature CAM: Interpretable AI in Image Classification
Frincy Clement
Ji Yang
Irene Cheng
FAtt
111
2
0
08 Mar 2024
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
XAI-Based Detection of Adversarial Attacks on Deepfake Detectors
Ben Pinhasov
Raz Lapid
Rony Ohayon
Moshe Sipper
Y. Aperstein
AAML
190
15
0
05 Mar 2024
Saliency-Aware Automatic Buddhas Statue Recognition
Saliency-Aware Automatic Buddhas Statue Recognition
Yong Qi
Fanghan Zhao
176
0
0
26 Feb 2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models
Hongbin Liu
Michael K. Reiter
Neil Zhenqiang Gong
AAML
314
3
0
22 Feb 2024
Investigating the Impact of Model Instability on Explanations and
  Uncertainty
Investigating the Impact of Model Instability on Explanations and Uncertainty
Sara Vera Marjanović
Isabelle Augenstein
Christina Lioma
AAML
253
1
0
20 Feb 2024
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization
  Bounds with Complexity Measures
Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
Paul Viallard
Rémi Emonet
Amaury Habrard
Emilie Morvant
Valentina Zantedeschi
320
4
0
19 Feb 2024
Challenging the Black Box: A Comprehensive Evaluation of Attribution
  Maps of CNN Applications in Agriculture and Forestry
Challenging the Black Box: A Comprehensive Evaluation of Attribution Maps of CNN Applications in Agriculture and Forestry
Lars Nieradzik
Henrike Stephani
Jördis Sieburg-Rockel
Stephanie Helmling
Andrea Olbrich
Janis Keuper
FAtt
287
5
0
18 Feb 2024
Feature Accentuation: Revealing 'What' Features Respond to in Natural
  Images
Feature Accentuation: Revealing 'What' Features Respond to in Natural Images
Christopher Hamblin
Thomas Fel
Srijani Saha
Talia Konkle
George A. Alvarez
FAtt
394
5
0
15 Feb 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage
  Perturbation Test for Causal Explanation
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
Xuexin Chen
Ruichu Cai
Zhengting Huang
Yuxuan Zhu
Julien Horwood
Zhifeng Hao
Zijian Li
Jose Miguel Hernandez-Lobato
AAML
461
4
0
13 Feb 2024
A PAC-Bayesian Link Between Generalisation and Flat Minima
A PAC-Bayesian Link Between Generalisation and Flat Minima
Maxime Haddouche
Paul Viallard
Umut Simsekli
Benjamin Guedj
340
11
0
13 Feb 2024
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic
  Review
Explainable AI for Safe and Trustworthy Autonomous Driving: A Systematic Review
Anton Kuznietsov
Bálint Gyevnár
Cheng Wang
Steven Peters
Stefano V. Albrecht
XAI
398
73
0
08 Feb 2024
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank
  Modifications
Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei
Kaixuan Huang
Yangsibo Huang
Tinghao Xie
Xiangyu Qi
Mengzhou Xia
Prateek Mittal
Mengdi Wang
Peter Henderson
AAML
309
174
0
07 Feb 2024
Focal Modulation Networks for Interpretable Sound Classification
Focal Modulation Networks for Interpretable Sound Classification
Luca Della Libera
Cem Subakan
Mirco Ravanelli
164
4
0
05 Feb 2024
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble
  Techniques
NormEnsembleXAI: Unveiling the Strengths and Weaknesses of XAI Ensemble Techniques
Weronika Hryniewska-Guzik
Bartosz Sawicki
P. Biecek
233
2
0
30 Jan 2024
A Cross-Language Investigation into Jailbreak Attacks in Large Language
  Models
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models
Jie Li
Yi Liu
Chongyang Liu
Ling Shi
Xiaoning Ren
Yaowen Zheng
Yang Liu
Yinxing Xue
AAML
278
38
0
30 Jan 2024
DAM: Diffusion Activation Maximization for 3D Global Explanations
DAM: Diffusion Activation Maximization for 3D Global Explanations
Hanxiao Tan
245
2
0
26 Jan 2024
Transforming gradient-based techniques into interpretable methods
Transforming gradient-based techniques into interpretable methodsPattern Recognition Letters (PR), 2024
Caroline Mazini Rodrigues
Nicolas Boutry
Laurent Najman
237
7
0
25 Jan 2024
Respect the model: Fine-grained and Robust Explanation with Sharing
  Ratio Decomposition
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio DecompositionInternational Conference on Learning Representations (ICLR), 2024
Sangyu Han
Yearim Kim
Nojun Kwak
AAML
223
4
0
25 Jan 2024
Full Bayesian Significance Testing for Neural Networks
Full Bayesian Significance Testing for Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024
Zehua Liu
Zimeng Li
Jingyuan Wang
Yue He
BDL
247
13
0
24 Jan 2024
Fuzzy Logic Function as a Post-hoc Explanator of the Nonlinear
  Classifier
Fuzzy Logic Function as a Post-hoc Explanator of the Nonlinear Classifier
M. Klimo
L. Králik
80
1
0
22 Jan 2024
Path Choice Matters for Clear Attribution in Path Methods
Path Choice Matters for Clear Attribution in Path Methods
Borui Zhang
Wenzhao Zheng
Jie Zhou
Jiwen Lu
201
4
0
19 Jan 2024
Sanity Checks Revisited: An Exploration to Repair the Model Parameter
  Randomisation Test
Sanity Checks Revisited: An Exploration to Repair the Model Parameter Randomisation Test
Anna Hedström
Leander Weber
Sebastian Lapuschkin
Marina M.-C. Höhne
LRM
236
10
0
12 Jan 2024
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMU
Robust CNN-based Respiration Rate Estimation for Smartwatch PPG and IMUInternational Conference on Bioinformatics Research and Applications (ICBRA), 2023
Kianoosh Kazemi
Iman Azimi
P. Liljeberg
Amir M. Rahmani
107
3
0
10 Jan 2024
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography
  Angiography for Automatic Diabetic Retinopathy Diagnosis
DISCOVER: 2-D Multiview Summarization of Optical Coherence Tomography Angiography for Automatic Diabetic Retinopathy Diagnosis
Mostafa EL HABIB DAHO
Yi-Hsuan Li
Rachid Zeghlache
Hugo Le Boité
Pierre Deman
...
A. Couturier
R. Tadayoni
Pierre-Henri Conze
M. Lamard
G. Quellec
171
12
0
10 Jan 2024
Exploring Hyperspectral Anomaly Detection with Human Vision: A Small
  Target Aware Detector
Exploring Hyperspectral Anomaly Detection with Human Vision: A Small Target Aware DetectorNeural Networks (NN), 2024
Haonan Qin
Weiying Xie
Yunsong Li
213
5
0
02 Jan 2024
Explainability-Driven Leaf Disease Classification Using Adversarial
  Training and Knowledge Distillation
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge DistillationInternational Conference on Agents and Artificial Intelligence (ICAART), 2023
Sebastian-Vasile Echim
Iulian-Marius Taiatu
Dumitru-Clementin Cercel
Florin-Catalin Pop
173
1
0
30 Dec 2023
Visual Explanations of Image-Text Representations via Multi-Modal
  Information Bottleneck Attribution
Visual Explanations of Image-Text Representations via Multi-Modal Information Bottleneck Attribution
Ying Wang
Tim G. J. Rudner
Andrew Gordon Wilson
284
32
0
28 Dec 2023
Previous
123456...373839
Next