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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
Auditing Visualizations: Transparency Methods Struggle to Detect
  Anomalous Behavior
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior
Jean-Stanislas Denain
Jacob Steinhardt
AAML
291
7
0
27 Jun 2022
Thermodynamics-inspired Explanations of Artificial Intelligence
Thermodynamics-inspired Explanations of Artificial IntelligenceNature Communications (Nat Commun), 2022
S. Mehdi
P. Tiwary
AI4CE
212
32
0
27 Jun 2022
Visualizing and Understanding Contrastive Learning
Visualizing and Understanding Contrastive LearningIEEE Transactions on Image Processing (IEEE TIP), 2022
Fawaz Sammani
Boris Joukovsky
Nikos Deligiannis
SSLFAtt
210
17
0
20 Jun 2022
A Dynamic Data Driven Approach for Explainable Scene Understanding
A Dynamic Data Driven Approach for Explainable Scene Understanding
Z. Daniels
Dimitris N. Metaxas
FAtt
126
3
0
18 Jun 2022
FD-CAM: Improving Faithfulness and Discriminability of Visual
  Explanation for CNNs
FD-CAM: Improving Faithfulness and Discriminability of Visual Explanation for CNNsInternational Conference on Pattern Recognition (ICPR), 2022
Hui Li
Zihao Li
Rui Ma
Tieru Wu
FAtt
131
13
0
17 Jun 2022
A Novel Implementation of Machine Learning for the Efficient,
  Explainable Diagnosis of COVID-19 from Chest CT
A Novel Implementation of Machine Learning for the Efficient, Explainable Diagnosis of COVID-19 from Chest CTInternational Journal of High School Research (IJHSR), 2021
Justin Liu
162
2
0
15 Jun 2022
Cross-lingual AMR Aligner: Paying Attention to Cross-Attention
Cross-lingual AMR Aligner: Paying Attention to Cross-AttentionAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Abelardo Carlos Martínez Lorenzo
Pere-Lluís Huguet Cabot
Roberto Navigli
220
6
0
15 Jun 2022
The Manifold Hypothesis for Gradient-Based Explanations
The Manifold Hypothesis for Gradient-Based Explanations
Sebastian Bordt
Uddeshya Upadhyay
Zeynep Akata
U. V. Luxburg
FAttAAML
246
17
0
15 Jun 2022
Machines Explaining Linear Programs
Machines Explaining Linear Programs
David Steinmann
Matej Zečević
Devendra Singh Dhami
Kristian Kersting
FAtt
101
0
0
14 Jun 2022
Making Sense of Dependence: Efficient Black-box Explanations Using
  Dependence Measure
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence MeasureNeural Information Processing Systems (NeurIPS), 2022
Paul Novello
Thomas Fel
David Vigouroux
FAtt
338
40
0
13 Jun 2022
Efficient Human-in-the-loop System for Guiding DNNs Attention
Efficient Human-in-the-loop System for Guiding DNNs AttentionInternational Conference on Intelligent User Interfaces (IUI), 2022
Yi He
Xi Yang
Chia-Ming Chang
Haoran Xie
Takeo Igarashi
218
8
0
13 Jun 2022
Geometrically Guided Integrated Gradients
Geometrically Guided Integrated Gradients
Md. Mahfuzur Rahman
N. Lewis
Sergey Plis
FAttAAML
137
0
0
13 Jun 2022
A Functional Information Perspective on Model Interpretation
A Functional Information Perspective on Model InterpretationInternational Conference on Machine Learning (ICML), 2022
Itai Gat
Nitay Calderon
Roi Reichart
Tamir Hazan
AAMLFAtt
255
6
0
12 Jun 2022
Diffeomorphic Counterfactuals with Generative Models
Diffeomorphic Counterfactuals with Generative ModelsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Ann-Kathrin Dombrowski
Jan E. Gerken
Klaus-Robert Muller
Pan Kessel
DiffMBDL
320
22
0
10 Jun 2022
Xplique: A Deep Learning Explainability Toolbox
Xplique: A Deep Learning Explainability Toolbox
Thomas Fel
Lucas Hervier
David Vigouroux
Antonin Poché
Justin Plakoo
...
Agustin Picard
C. Nicodeme
Laurent Gardes
G. Flandin
Thomas Serre
204
44
0
09 Jun 2022
From Attribution Maps to Human-Understandable Explanations through
  Concept Relevance Propagation
From Attribution Maps to Human-Understandable Explanations through Concept Relevance PropagationNature Machine Intelligence (Nat. Mach. Intell.), 2022
Reduan Achtibat
Maximilian Dreyer
Ilona Eisenbraun
S. Bosse
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
FAtt
234
195
0
07 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A
  Survey
Explainable Artificial Intelligence (XAI) for Internet of Things: A SurveyIEEE Internet of Things Journal (IEEE IoT J.), 2022
İbrahim Kök
Feyza Yıldırım Okay
Özgecan Muyanlı
S. Özdemir
XAI
295
86
0
07 Jun 2022
Saliency Cards: A Framework to Characterize and Compare Saliency Methods
Saliency Cards: A Framework to Characterize and Compare Saliency MethodsConference on Fairness, Accountability and Transparency (FAccT), 2022
Angie Boggust
Harini Suresh
Hendrik Strobelt
John Guttag
Arvindmani Satyanarayan
FAttXAI
207
15
0
07 Jun 2022
Self-supervised Learning for Human Activity Recognition Using 700,000
  Person-days of Wearable Data
Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data
H. Yuan
Shing Chan
Andrew P. Creagh
C. Tong
Aidan Acquah
David Clifton
Aiden Doherty
SSL
342
140
0
06 Jun 2022
Tackling covariate shift with node-based Bayesian neural networks
Tackling covariate shift with node-based Bayesian neural networksInternational Conference on Machine Learning (ICML), 2022
Trung Trinh
Markus Heinonen
Luigi Acerbi
Samuel Kaski
BDLUQCV
221
7
0
06 Jun 2022
Which Explanation Should I Choose? A Function Approximation Perspective
  to Characterizing Post Hoc Explanations
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post Hoc ExplanationsNeural Information Processing Systems (NeurIPS), 2022
Tessa Han
Suraj Srinivas
Himabindu Lakkaraju
FAtt
355
107
0
02 Jun 2022
Positive Unlabeled Contrastive Learning
Positive Unlabeled Contrastive Learning
Anish Acharya
Sujay Sanghavi
Li Jing
Bhargav Bhushanam
Dhruv Choudhary
Michael G. Rabbat
Inderjit Dhillon
SSL
186
15
0
01 Jun 2022
Exact Feature Collisions in Neural Networks
Exact Feature Collisions in Neural Networks
Utku Ozbulak
Manvel Gasparyan
Shodhan Rao
W. D. Neve
Arnout Van Messem
AAML
137
1
0
31 May 2022
Comparing interpretation methods in mental state decoding analyses with
  deep learning models
Comparing interpretation methods in mental state decoding analyses with deep learning models
A. Thomas
Christopher Ré
R. Poldrack
AI4CE
216
2
0
31 May 2022
CHALLENGER: Training with Attribution Maps
CHALLENGER: Training with Attribution Maps
Christian Tomani
Zorah Lähner
96
1
0
30 May 2022
Saliency Map Based Data Augmentation
Saliency Map Based Data AugmentationInternational Conference on Pattern Recognition (ICPR), 2022
Jalal Al-Afandi
B. Magyar
András Horváth
127
1
0
29 May 2022
A Unified Weight Initialization Paradigm for Tensorial Convolutional
  Neural Networks
A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Yu Pan
Zeyong Su
Ao Liu
Jingquan Wang
Nannan Li
Zenglin Xu
169
14
0
28 May 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model
  Behavior
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model BehaviorNeural Information Processing Systems (NeurIPS), 2022
Eldar David Abraham
Karel DÓosterlinck
Amir Feder
Y. Gat
Atticus Geiger
Christopher Potts
Roi Reichart
Zhengxuan Wu
CML
267
56
0
27 May 2022
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual
  Recognition
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Yue Song
Andrii Zadaianchuk
Wei Wang
221
41
0
26 May 2022
Interpretation Quality Score for Measuring the Quality of
  interpretability methods
Interpretation Quality Score for Measuring the Quality of interpretability methods
Sean Xie
Soroush Vosoughi
Saeed Hassanpour
XAI
253
5
0
24 May 2022
What You See is What You Classify: Black Box Attributions
What You See is What You Classify: Black Box AttributionsNeural Information Processing Systems (NeurIPS), 2022
Steven Stalder
Nathanael Perraudin
R. Achanta
Fernando Perez-Cruz
Michele Volpi
FAtt
252
13
0
23 May 2022
Learnable Visual Words for Interpretable Image Recognition
Learnable Visual Words for Interpretable Image Recognition
Wenxi Xiao
Zhengming Ding
Hongfu Liu
VLM
298
2
0
22 May 2022
Robust Sensible Adversarial Learning of Deep Neural Networks for Image
  Classification
Robust Sensible Adversarial Learning of Deep Neural Networks for Image ClassificationAnnals of Applied Statistics (AOAS), 2022
Jungeum Kim
Tianlin Li
OODAAML
112
3
0
20 May 2022
Towards Better Understanding Attribution Methods
Towards Better Understanding Attribution MethodsComputer Vision and Pattern Recognition (CVPR), 2022
Sukrut Rao
Moritz Bohle
Bernt Schiele
XAI
226
39
0
20 May 2022
B-cos Networks: Alignment is All We Need for Interpretability
B-cos Networks: Alignment is All We Need for InterpretabilityComputer Vision and Pattern Recognition (CVPR), 2022
Moritz D Boehle
Mario Fritz
Bernt Schiele
222
100
0
20 May 2022
FIND:Explainable Framework for Meta-learning
FIND:Explainable Framework for Meta-learning
Xinyue Shao
Hongzhi Wang
Xiao-Wen Zhu
Feng Xiong
FedML
117
4
0
20 May 2022
A Boosting Algorithm for Positive-Unlabeled Learning
A Boosting Algorithm for Positive-Unlabeled Learning
Yawen Zhao
Mingzhe Zhang
Chenhao Zhang
Tony Chen
N. Ye
Miao Xu
143
4
0
19 May 2022
Policy Distillation with Selective Input Gradient Regularization for
  Efficient Interpretability
Policy Distillation with Selective Input Gradient Regularization for Efficient Interpretability
Jinwei Xing
Takashi Nagata
Xinyun Zou
Emre Neftci
J. Krichmar
AAML
122
4
0
18 May 2022
Guidelines for the Regularization of Gammas in Batch Normalization for
  Deep Residual Networks
Guidelines for the Regularization of Gammas in Batch Normalization for Deep Residual NetworksACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Bum Jun Kim
Hyeyeon Choi
Hyeonah Jang
Dong Gu Lee
Wonseok Jeong
Sang Woo Kim
169
5
0
15 May 2022
Machine Learning Workflow to Explain Black-box Models for Early
  Alzheimer's Disease Classification Evaluated for Multiple Datasets
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple DatasetsSN Computer Science (SN Comput. Sci.), 2022
Louise Bloch
Christoph M. Friedrich
181
18
0
12 May 2022
Explainable Deep Learning Methods in Medical Image Classification: A
  Survey
Explainable Deep Learning Methods in Medical Image Classification: A SurveyACM Computing Surveys (ACM CSUR), 2022
Cristiano Patrício
João C. Neves
Luís F. Teixeira
XAI
263
101
0
10 May 2022
Task-specific Compression for Multi-task Language Models using
  Attribution-based Pruning
Task-specific Compression for Multi-task Language Models using Attribution-based PruningFindings (Findings), 2022
Nakyeong Yang
Yunah Jang
Hwanhee Lee
Seohyeong Jung
Kyomin Jung
143
10
0
09 May 2022
Understanding CNNs from excitations
Understanding CNNs from excitationsIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Zijian Ying
Qianmu Li
Zhichao Lian
Jun Hou
Tong Lin
Tao Wang
AAMLFAtt
409
1
0
02 May 2022
Exposing Deepfake Face Forgeries with Guided Residuals
Exposing Deepfake Face Forgeries with Guided ResidualsIEEE transactions on multimedia (IEEE TMM), 2022
Zhiqing Guo
Gaobo Yang
Jiyou Chen
Xingming Sun
CVBM
119
41
0
02 May 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for
  Out-of-Distribution Generalization
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution GeneralizationAAAI Conference on Artificial Intelligence (AAAI), 2022
Minghui Chen
Cheng Wen
Feng Zheng
Fengxiang He
Ling Shao
OODD
187
5
0
25 Apr 2022
Locally Aggregated Feature Attribution on Natural Language Model
  Understanding
Locally Aggregated Feature Attribution on Natural Language Model UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Shenmin Zhang
Jin Wang
Haitao Jiang
Rui Song
FAtt
210
5
0
22 Apr 2022
Feature anomaly detection system (FADS) for intelligent manufacturing
Feature anomaly detection system (FADS) for intelligent manufacturing
Anthony P. Garland
Kevin M. Potter
Matt Smith
91
3
0
21 Apr 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy,
  Robustness, Fairness, and Explainability
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and ExplainabilityMachine Intelligence Research (MIR), 2022
Enyan Dai
Tianxiang Zhao
Huaisheng Zhu
Jun Xu
Zhimeng Guo
Hui Liu
Shucheng Zhou
Suhang Wang
357
189
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18 Apr 2022
Interpretability of Machine Learning Methods Applied to Neuroimaging
Interpretability of Machine Learning Methods Applied to Neuroimaging
Elina Thibeau-Sutre
S. Collin
Ninon Burgos
O. Colliot
155
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14 Apr 2022
Deep Vehicle Detection in Satellite Video
Deep Vehicle Detection in Satellite Video
R. Pflugfelder
Axel Weissenfeld
Julian Wagner
ViT
241
5
0
14 Apr 2022
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